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Dissertations / Theses on the topic 'Artificial intelligent algorithms'

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Published: 28 May 2022

Last updated: 31 July 2025

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1

Wakelam, Mark. "Intelligent hybrid approach for integrated design." Thesis, University of Nottingham, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.263942.

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2

Qi, Dehu. "Multi-agent systems : integrating reinforcement learning, bidding and genetic algorithms /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3060133.

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3

Yang, Jianhua. "Intelligent data mining using artificial neural networks and genetic algorithms : techniques and applications." Thesis, University of Warwick, 2010. http://wrap.warwick.ac.uk/3831/.

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Data Mining (DM) refers to the analysis of observational datasets to find relationships and to summarize the data in ways that are both understandable and useful. Many DM techniques exist. Compared with other DM techniques, Intelligent Systems (ISs) based approaches, which include Artificial Neural Networks (ANNs), fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as Genetic Algorithms (GAs), are tolerant of imprecision, uncertainty, partial truth, and approximation. They provide flexible information processing capability for handling real-life situations.

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4

Mailah, Musa. "Intelligent active force control of a rigid robot arm using neural network and iterative learning algorithms." Thesis, University of Dundee, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269529.

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5

Wong, Wing-ki Vicky. "An immunity-based distributed multiagent control framework." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37314348.

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6

Nikolaiev, Y., Інна Олексіївна Зайцева, Инна Алексеевна Зайцева, and Inna Oleksiivna Zaitseva. "Künstliche intelligenz." Thesis, Sumy State University, 2020. https://essuir.sumdu.edu.ua/handle/123456789/77844.

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Künstliche Intelligenz hat sich im letzten Jahrzehnt von einem Science-Fiction-Traum zu einem kritischen Teil unseres Alltags entwickelt. Wir verwenden Künstliche-Intelligenz -Systeme, um mit unseren Handys über Siri zu interagieren, Autos wie Teslas zu interpretieren. Künstlich intelligente Algorithmen sind hier, sie haben unser Leben bereits zum Besseren oder Schlechteren verändert. Aber das ist nur der Anfang, und eines Tages werden wir 2019 auf Künstliche Intelligenz zurückblicken und darüber lachen, wie primitiv es war. In erster Linie sind KI-Systeme bereits darauf vorbereitet, Millione

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7

Wong, Wing-ki Vicky, and 黃穎琪. "An immunity-based distributed multiagent control framework." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B37314348.

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8

Yu, Chen-Ping. "Computational model of MST neuron receptive field and interaction effect for the perception of self-motion /." Online version of thesis, 2008. http://hdl.handle.net/1850/9588.

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9

MAZZIA, VITTORIO. "Machine Learning Algorithms and their Embedded Implementation for Service Robotics Applications." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2968456.

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10

Burdelis, Mauricio Alexandre Parente. "Ajuste de taxas de mutação e de cruzamento de algoritmos genéticos utilizando-se inferências nebulosas." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-14082009-180444/.

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Neste trabalho foi realizada uma proposta de utilização de Sistemas de Inferência Nebulosos para controlar, em tempo de execução, parâmetros de Algoritmos Genéticos. Esta utilização busca melhorar o desempenho de Algoritmos Genéticos diminuindo, ao mesmo tempo: a média de iterações necessárias para que um Algoritmo Genético encontre o valor ótimo global procurado; bem como diminuindo o número de execuções do mesmo que não são capazes de encontrar o valor ótimo global procurado, nem mesmo para quantidades elevadas de iterações. Para isso, foram analisados os resultados de diversos experimentos

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11

Rego, Máñez Albert. "Intelligent multimedia flow transmission through heterogeneous networks using cognitive software defined networks." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/160483.

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[ES] La presente tesis aborda el problema del encaminamiento en las redes definidas por software (SDN). Específicamente, aborda el problema del diseño de un protocolo de encaminamiento basado en inteligencia artificial (AI) para garantizar la calidad de servicio (QoS) en transmisiones multimedia. En la primera parte del trabajo, el concepto de SDN es introducido. Su arquitectura, protocolos y ventajas son comentados. A continuación, el estado del arte es presentado, donde diversos trabajos acerca de QoS, encaminamiento, SDN y AI son detallados. En el siguiente capítulo, el controlador S

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12

Salman, Raied. "CONTRIBUTIONS TO K-MEANS CLUSTERING AND REGRESSION VIA CLASSIFICATION ALGORITHMS." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2738.

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The dissertation deals with clustering algorithms and transforming regression prob-lems into classification problems. The main contributions of the dissertation are twofold; first, to improve (speed up) the clustering algorithms and second, to develop a strict learn-ing environment for solving regression problems as classification tasks by using support vector machines (SVMs). An extension to the most popular unsupervised clustering meth-od, k-means algorithm, is proposed, dubbed k-means2 (k-means squared) algorithm, appli-cable to ultra large datasets. The main idea is based on using a small

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13

Ingram, Stephen D. "Visual Feedback Stabilisation of a Cart Inverted Pendulum A." Thesis, University of Bradford, 2016. http://hdl.handle.net/10454/17375.

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Vision-based object stabilisation is an exciting and challenging area of research, and is one that promises great technical advancements in the field of computer vision. As humans, we are capable of a tremendous array of skilful interactions, particularly when balancing unstable objects that have complex, non-linear dynamics. These complex dynamics impose a difficult control problem, since the object must be stabilised through collaboration between applied forces and vision-based feedback. To coordinate our actions and facilitate delivery of precise amounts of muscle torque, we primarily use o

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14

Mollaret, Sébastien. "Artificial intelligence algorithms in quantitative finance." Thesis, Paris Est, 2021. http://www.theses.fr/2021PESC2002.

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L'intelligence artificielle est devenue de plus en plus populaire en finance quantitative avec l'augmentation des capacités de calcul ainsi que de la complexité des modèles et a conduit à de nombreuses applications financières. Dans cette thèse, nous explorons trois applications différentes pour résoudre des défis concernant le domaine des dérivés financiers allant de la sélection de modèle, à la calibration de modèle ainsi que la valorisation des dérivés. Dans la Partie I, nous nous intéressons à un modèle avec changement de régime de volatilité afin de valoriser des dérivés sur actions. Les

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15

Luna, Huamaní Ivette Raymunda 1978. "Analises de series temporais e modelagem baseada em regras nebulosas." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261147.

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Orientadores: Secundino Soares Filho, Rosangela Ballini<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-11T11:20:51Z (GMT). No. of bitstreams: 1 LunaHuamani_IvetteRaymunda_D.pdf: 1516017 bytes, checksum: 0b1789c54ac07dc411d69c82d77f8ac3 (MD5) Previous issue date: 2007<br>Resumo: Este trabalho propõe uma metodologia baseada em regras nebulosas para a modelagem e previsão de séries temporais. Inicialmente, os dados são pré-processados para, a seguir, ocorrer a seleção de variáveis que serão utiliza

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16

Angeline, Peter John. "Evolutionary algorithms and emergent intelligence /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487847309052203.

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17

Efstathiou, V. "Algorithms for computational argumentation in artificial intelligence." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1301992/.

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Argumentation is a vital aspect of intelligent behaviour by humans. It provides the means for comparing information by analysing pros and cons when trying to make a decision. Formalising argumentation in computational environment has become a topic of increasing interest in artificial intelligence research over the last decade. Computational argumentation involves reasoning with uncertainty by making use of logic in order to formalize the presentation of arguments and counterarguments and deal with conflicting information. A common assumption for logic-based argumentation is that an argument i

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18

Heinen, Milton Roberto. "Controle inteligente do caminhar de robôs móveis simulados." Universidade do Vale do Rio do Sinos, 2007. http://www.repositorio.jesuita.org.br/handle/UNISINOS/2243.

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Made available in DSpace on 2015-03-05T13:58:27Z (GMT). No. of bitstreams: 0 Previous issue date: 10<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>O objetivo desta dissertação é propor, testar e avaliar o uso de técnicas de Aprendizado de Máquina (ML) na configuração automática do controle do caminhar de robôs com pernas. Para que este objetivo fosse atingido, um extensa pesquisa de técnicas do estado da arte foi realizada e descrita neste trabalho. Esta pesquisa permitiu a elaboração do modelo proposto, chamado de LegGen, que foi implementado em um protótipo. O protóti

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19

Ray, Katrina. "Algorithm capability and applications in artificial intelligence." Thesis, Connect to title online (Scholars' Bank) Connect to title online (ProQuest), 2008. http://hdl.handle.net/1794/9504.

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20

Hobday, Steven. "Artificial intelligence and simulations applied to interatomic potentials." Thesis, Loughborough University, 1998. https://dspace.lboro.ac.uk/2134/33255.

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The interatomic potential is a mathematical model that describes the chemistry occurring at the atomic level. It provides a functional mapping between the atomic nuclei coordinates and the total potential energy of a system. This thesis investigates three aspects of interatomic potentials, the first of which is the simulation of materials at the atomic scale using classical molecular dynamics (MD). Molecular dynamics code is used to follow the evolution of a system of discrete particles through time and is employed here to model the bombardment of fullerite films modified with low dose Argon i

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21

Fyrvald, Johanna. "Mitigating algorithmic bias in Artificial Intelligence systems." Thesis, Uppsala universitet, Matematiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388627.

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Artificial Intelligence (AI) systems are increasingly used in society to make decisions that can have direct implications on human lives; credit risk assessments, employment decisions and criminal suspects predictions. As public attention has been drawn towards examples of discriminating and biased AI systems, concerns have been raised about the fairness of these systems. Face recognition systems, in particular, are often trained on non-diverse data sets where certain groups often are underrepresented in the data. The focus of this thesis is to provide insights regarding different aspects that

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22

Wan, H. B. "Voltage stability analysis using algorithmic and artificial intelligent approaches." Thesis, University of Bath, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337820.

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23

Pierrot, Henri Jan, and n/a. "Artificial intelligence architectures for classifying conjoined data." Swinburne University of Technology, 2007. http://adt.lib.swin.edu.au./public/adt-VSWT20070426.102059.

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This thesis is concerned with the development of novel methods of classifying data that is not inherently clustered. The performance of these novel algorithms in finding classifications in this data will be compared with that of existing artificial intelligence methods.

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24

Pierrot, Henri Jan. "Artificial intelligence architectures for classifying conjoined data." Australasian Digital Thesis Program, 2007. http://adt.lib.swin.edu.au/public/adt-VSWT20070426.102059/index.html.

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Thesis (MSc) - Information and Communication Technology, Swinburne University of Technology, 2007.<br>Submitted in partial fulfilment of the requirements for the degree of Master of Science (IT), [Information and Communication Technology], Swinburne University of Technology - 2007. Typescript. Includes bibliographical references.

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25

Griffiths, Ian. "Microcontroller implementation of artificial intelligence for autonomous guided vehicles." Thesis, University of Wolverhampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266837.

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26

Castorina, Giovanni. "Artificial intelligence based hybrid systems for financial forecasting." Thesis, University of the West of England, Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365146.

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Current research carried out on financial forecasting has highlighted some limitations of classical econometric methods based on the assumption that the investigated time series can be described as stationary stochastic processes with Gaussian probability density functions. Chaotic behaviour, fractal characteristics and non-linear dynamics have been emerging in different aspects of the financial forecasting problem. The objective of this thesis is to take a system level perspective of the financial forecasting problem and to explore a number of approaches to enhance more 'traditional' decision

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27

Wååg, Håkan. "Development of a Framework for Genetic Algorithms." Thesis, Jönköping University, JTH, Computer and Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-11537.

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<p>Genetic algorithms is a method of optimization that can be used tosolve many different kinds of problems. This thesis focuses ondeveloping a framework for genetic algorithms that is capable ofsolving at least the two problems explored in the work. Otherproblems are supported by allowing user-made extensions.The purpose of this thesis is to explore the possibilities of geneticalgorithms for optimization problems and artificial intelligenceapplications.To test the framework two applications are developed that look attwo distinct problems, both of which aim at demonstrating differentparts. The

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28

Monti, Matteo. "Non-evolutive pattern recognition techniques: An application in medical image diagnostics." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/6286/.

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Lo studio dell’intelligenza artificiale si pone come obiettivo la risoluzione di una classe di problemi che richiedono processi cognitivi difficilmente codificabili in un algoritmo per essere risolti. Il riconoscimento visivo di forme e figure, l’interpretazione di suoni, i giochi a conoscenza incompleta, fanno capo alla capacità umana di interpretare input parziali come se fossero completi, e di agire di conseguenza. Nel primo capitolo della presente tesi sarà costruito un semplice formalismo matematico per descrivere l’atto di compiere scelte. Il processo di “apprendimento” verrà descritto

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29

Wong, King-sau, and 黃敬修. "Improving the performance of lifts using artificial intelligence techniques." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B2768295X.

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(Uncorrected OCR) Abstract of thesis entitled Improving the Performance of Lifts Using Artificial Intelligence Techniques submitted by Wong King Sau for the degree of Doctor of Philosophy at the University of Hong Kong in August 2003 An elevator group control system manages multiple elevators to serve hall calls in a building. Most elevator group control systems need to recognize the traffic pattern of the building and then change their control algorithms to improve the efficiency of the elevator system. However, the traffic flow in a building is very difficult to be cla

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30

Sjöblom, Niklas. "Evolutionary algorithms in statistical learning : Automating the optimization procedure." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160118.

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Scania has been working with statistics for a long time but has invested in becoming a data driven company more recently and uses data science in almost all business functions. The algorithms developed by the data scientists need to be optimized to be fully utilized and traditionally this is a manual and time consuming process. What this thesis investigates is if and how well evolutionary algorithms can be used to automate the optimization process. The evaluation was done by implementing and analyzing four variations of genetic algorithms with different levels of complexity and tuning paramete

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31

Nettleton, David John. "Evolutionary algorithms in artificial intelligence : a comparative study through applications." Thesis, Durham University, 1994. http://etheses.dur.ac.uk/5951/.

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For many years research in artificial intelligence followed a symbolic paradigm which required a level of knowledge described in terms of rules. More recently subsymbolic approaches have been adopted as a suitable means for studying many problems. There are many search mechanisms which can be used to manipulate subsymbolic components, and in recent years general search methods based on models of natural evolution have become increasingly popular. This thesis examines a hybrid symbolic/subsymbolic approach and the application of evolutionary algorithms to a problem from each of the fields of sh

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32

Rajkumar, Naganathy. "Novel algorithms for modern power systems." Thesis, City University London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390941.

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33

Machado, Beatriz. "Artificial intelligence to model bedrock depth uncertainty." Thesis, KTH, Jord- och bergmekanik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252317.

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The estimation of bedrock level for soil and rock engineering is a challenge associated to many uncertainties. Nowadays, this estimation is performed by geotechnical or geophysics investigations. These methods are expensive techniques, that normally are not fully used because of limited budget. Hence, the bedrock levels in between investigations are roughly estimated and the uncertainty is almost unknown. Machine learning (ML) is an artificial intelligence technique that uses algorithms and statistical models to predict determined tasks. These mathematical models are built dividing the data be

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34

Topalli, Ayca Kumluca. "Hybrid Learning Algorithm For Intelligent Short-term Load Forecasting." Phd thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/627505/index.pdf.

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Short-term load forecasting (STLF) is an important part of the power generation process. For years, it has been achieved by traditional approaches stochastic like time series<br>but, new methods based on artificial intelligence emerged recently in literature and started to replace the old ones in the industry. In order to follow the latest developments and to have a modern system, it is aimed to make a research on STLF in Turkey, by neural networks. For this purpose, a method is proposed to forecast Turkey&rsquo<br>s total electric load one day in advance. A hybrid learning scheme that combine

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35

Heder, Marcus. "Artificiell intelligens som evolverande animationsverktyg." Thesis, University of Skövde, School of Humanities and Informatics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-4075.

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<p>Animationer av karaktärer och objekt är en viktig del vid skapandet av spel. Detta är något som det läggs mycket fokus på att få så realistisk som möjligt, även spelfysik används till viss del här för att ge karaktärer möjlighet att anpassa sig till miljöer. Det här arbetet undersöker och implementerar ett styrsystem, som används för animations generering till en trasdocka, med hjälp av artificiell intelligens. Styrsystemet använder sig av en självorganiserande artificiell intelligens för att generera animationer som följer ett specifikt beteende, i det här arbetet har animationer som fokus

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36

Hernández, Raúl Acosta. "MP-SMO: um algoritmo para a implementação VLSI do treinamento de máquinas de vetores de suporte." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3140/tde-28102009-172855/.

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Máquinas de aprendizagem, como Redes Neuronais Artificiais (ANNs), Redes Bayesianas, Máquinas de Vetores de Suporte (SVMs) e outras, são aplicadas em problemas de classificação de padrões. Devido ao baixo erro de teste, a SVM possui uma grande quantidade de aplicações, como no reconhecimento de imagens, seleção de genes, classificação de textos, robótica, reconhecimento de escrita a mão e outras. Dos algoritmos desenvolvidos para o treinamento da SVM, o Sequential Minimal Optimization (SMO) é um dos mais rápidos e o mais fácil de implementar em software. Devido a sua importância, várias otimiz

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37

Proverbio, Michele. "Algoritmi biologicamente ispirati per l’apprendimento continuo." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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La maggior parte delle tecniche e degli approcci sviluppati nel tempo nel campo dell'intelligenza artificiale derivano dallo studio del funzionamento del cervello umano. Gli obiettivi stessi del campo di ricerca sono stati ispirati da quelle che sono le capacità del nostro cervello, per raggiungere il fine ultimo dello sviluppo di una General Artificial Intellignece. Il campo del Continual Learning studia e cerca di riprodurre la nostra capacità di apprendere incrementalmente nuove informazioni e nel contempo di mantenere e ricordare memorie di esperienze passate. In questo documento viene esp

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Chatterjee, Shaunak. "Efficient inference algorithms for near-deterministic systems." Thesis, University of California, Berkeley, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3616611.

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<p> This thesis addresses the problem of performing probabilistic inference in stochastic systems where the probability mass is far from uniformly distributed among all possible outcomes. Such <i>near-deterministic</i> systems arise in several real-world applications. For example, in human physiology, the widely varying evolution rates of physiological variables make certain trajectories much more likely than others; in natural language, a very small fraction of all possible word sequences accounts for a disproportionately high amount of probability under a language model. In such settings, it

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Andersen, Mats Grønning. "Reservoir Production Optimization Using Genetic Algorithms and Artificial Neural Networks." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9985.

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<p>This master's thesis has investigated how methods from artificial intelligence (AI) can be used to perform and augment production optimization of sub-sea oil reservoirs. The methods involved in this work are genetic algorithms (GAs) and artificial neural networks (ANNs). Different optimization schemes were developed by the author to perform production optimization on oil reservoir simulator models. The optimization involves finding good input parameter values for certain properties of the model, relating to how the wells in the oil reservoir operate. The research involves straightforward

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Shihab, Ahmed Ismail. "Fuzzy clustering algorithms and their application to medical image analysis." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271556.

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Surme, Turan. "Application of genetic algorithms to open pit design and scheduling." Thesis, University of Nottingham, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319948.

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42

Xu, Jennifer J., and Hsinchun Chen. "Fighting organized crimes: using shortest-path algorithms to identify associations in criminal networks." Elsevier, 2004. http://hdl.handle.net/10150/106207.

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Artificial Intelligence Lab, Department of MIS, University of Arizona<br>Effective and efficient link analysis techniques are needed to help law enforcement and intelligence agencies fight organized crimes such as narcotics violation, terrorism, and kidnapping. In this paper, we propose a link analysis technique that uses shortest-path algorithms, priority-first-search (PFS) and two-tree PFS, to identify the strongest association paths between entities in a criminal network. To evaluate effectiveness, we compared the PFS algorithms with crime investigatorsâ typical association-search approa

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Askar, Sameh El Said Abdel Aziz. "Symbolic approaches and artificial intelligence algorithms for solving multi-objective optimisation problems." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/5557.

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Problems that have more than one objective function are of great importance in engineering sciences and many other disciplines. This class of problems are known as multi-objective optimisation problems (or multicriteria). The difficulty here lies in the conflict between the various objective functions. Due to this conflict, one cannot find a single ideal solution which simultaneously satisfies all the objectives. But instead one can find the set of Pareto-optimal solutions (Pareto-optimal set) and consequently the Pareto-optimal front is established. Finding these solutions plays an important

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DIETRICH, ERIC STANLEY. "COMPUTER THOUGHT: PROPOSITIONAL ATTITUDES AND META-KNOWLEDGE (ARTIFICIAL INTELLIGENCE, SEMANTICS, PSYCHOLOGY, ALGORITHMS)." Diss., The University of Arizona, 1985. http://hdl.handle.net/10150/188116.

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Though artificial intelligence scientists frequently use words such as "belief" and "desire" when describing the computational capacities of their programs and computers, they have completely ignored the philosophical and psychological theories of belief and desire. Hence, their explanations of computational capacities which use these terms are frequently little better than folk-psychological explanations. Conversely, though philosophers and psychologists attempt to couch their theories of belief and desire in computational terms, they have consistently misunderstood the notions of computation

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Canto, Nílton César Furtado. "Uma abordagem evolutiva para identificação de procedimentos de raciocínio humano." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-09022009-184704/.

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Neste trabalho, investigou-se a utilização de algoritmos evolutivos para identificação de procedimentos de raciocínio utilizados por humanos na construção de soluções para uma classe de problemas cuja principal característica é a utilização de raciocínio dedutivo. Para isso, utilizou-se uma abordagem que explora os diferentes níveis de complexidade do problema, partindo da análise das estratégias apresentadas por jogadores humanos. Foram realizados diversos ensaios que evoluíram primeiramente, para um modelo de solução puramente combinatória guiada por um algoritmo genético e independente do j

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Kassabalidis, Ioannis N. "Applications of biologically inspired algorithms to complex systems /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/5915.

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Zaccagnino, Gianluca. "Computer Music Algorithms. Bio-inspired and Artiﬁcial Intelligence Applications". Doctoral thesis, Universita degli studi di Salerno, 2017. http://hdl.handle.net/10556/2564.

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2014 - 2015<br>Music is one of the arts that have most benefited from the invention of computers. Originally, the term Computer Music was used in the scientific community to identify the application of information technology in music composition. It began over time to include the theory and application of new or existing technologies in music, such as sound synthesis, sound design, acoustic, psychoacoustic. Thanks to its interdisciplinary nature, Computer Music can be seen as the encounter of different disciplines. In the last years technology has redefined the way individuals can work, commun

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Rondeau, Thomas Warren. "Application of Artificial Intelligence to Wireless Communications." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/29199.

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This dissertation provides the theory, design, and implementation of a cognitive engine, the enabling technology of cognitive radio. A cognitive radio is a wireless communications device capable of sensing the environment and making decisions on how to use the available radio resources to enable communications with a certain quality of service. The cognitive engine, the intelligent system behind the cognitive radio, combines sensing, learning, and optimization algorithms to control and adapt the radio system from the physical layer and up the communication stack. The cognitive engine presented

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AZEVEDO, Marília Marta Gomes Orquiza de. "ANÁLISE DO DESEMPENHO DE MÉTODOS DE INTELIGÊNCIA ARTIFICIAL BASEADOS NO COMPORTAMENTO DAS PLANTAS." Universidade Federal do Maranhão, 2017. http://tedebc.ufma.br:8080/jspui/handle/tede/1252.

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Submitted by Maria Aparecida (cidazen@gmail.com) on 2017-04-07T11:44:34Z No. of bitstreams: 1 Marilia Marta.pdf: 1791339 bytes, checksum: 4b1d16d2c77f148ff69597765e114fa2 (MD5)<br>Made available in DSpace on 2017-04-07T11:44:34Z (GMT). No. of bitstreams: 1 Marilia Marta.pdf: 1791339 bytes, checksum: 4b1d16d2c77f148ff69597765e114fa2 (MD5) Previous issue date: 2017-02-20<br>CAPES<br>Artificial intelligence (AI) is a branch of computer science that studies the intelligent behavior of living beings, and mimics this intelligence by deploying it in computer programs, machines and systems in or

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Coletti, Mark. "An analysis of a model-based evolutionary algorithm| Learnable Evolution Model." Thesis, George Mason University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3625081.

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<p>An evolutionary algorithm (EA) is a biologically inspired metaheuristic that uses mutation, crossover, reproduction, and selection operators to evolve solutions for a given problem. Learnable Evolution Model (LEM) is an EA that has an evolutionary algorithm component that works in tandem with a machine learner to collaboratively create populations of individuals. The machine learner infers rules from best and least fit individuals, and then this knowledge is exploited to improve the quality of offspring. </p><p> Unfortunately, most of the extant work on LEM has been <i>ad hoc </i>, and so

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