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Rozprawy doktorskie na temat „Network of expert systems”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Vefghi, Lotfollah. "Expert neural network systems in clinical anaesthesia." Thesis, University of Sheffield, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267120.

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2

Yang, Shao-Shi 1958. "Expert system for broadband network cable plant physical layout." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276832.

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Broadband local area network cable plant design is a time consuming work, it takes lots of computation and it depends a lot on designer's experience. In this thesis the author presents an approach to cable plant design automation, the expert system was implemented in language SCHEME, symbol manipulation was used to generate the data structure (tree) which represent the design results. Signal level simulation can be performed based on the data structure.

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3

Chen, Lyu-Shi 1958. "EXPERT SYSTEM FOR BROADBAND NETWORK CABLE PLANT DESIGN." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276490.

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This thesis implements the expert system technology in broadband network cable plant design to provide an automated design tool for the design engineer. Under this scheme, the knowledge of the cable plant design engineer can be captured and adapted into a manageable form. The various processes of this system include design rule checking, automatically blueprint layout, signal quality analysis and report generator. As we know, the broadband cable plant design shares 50% of the installation budget at the same time, it is a critical issue in the reliability, the extendability, and the manageabili

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4

Fan, Yu. "Continuous time Bayesian Network approximate inference and social network applications." Diss., [Riverside, Calif.] : University of California, Riverside, 2009. http://proquest.umi.com/pqdweb?index=0&did=1957308751&SrchMode=2&sid=1&Fmt=2&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1268330625&clientId=48051.

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Thesis (Ph. D.)--University of California, Riverside, 2009.<br>Includes abstract. Title from first page of PDF file (viewed March 8, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 130-133). Also issued in print.

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5

Helmy, Dia E. (Dia Edin) Carleton University Dissertation Engineering Electrical. "A diagnostic expert system for dataroute network." Ottawa, 1987.

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6

Tomsovic, Kevin L. "Development of expert systems as on-line operational aids /." Thesis, Connect to this title online; UW restricted, 1987. http://hdl.handle.net/1773/5995.

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7

Gibson, Paul Martyn. "The application of hybrid neural network models to archaeofaunal ageing and interpretation." Thesis, University of York, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296383.

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8

Gilson, Robert. "Minimizing input acquisition costs in a Bayesian belief network-based expert system /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/8763.

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9

Greer, Kieran R. C. "A neural network based search heuristic and its application to computer chess." Thesis, University of Ulster, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243736.

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10

Islam, Raihan Ul. "Wireless Sensor Network Based Flood Prediction Using Belief Rule Based Expert System." Licentiate thesis, Luleå tekniska universitet, Datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-66415.

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Flood is one of the most devastating natural disasters. It is estimated that flooding from sea level rise will cause one trillion USD to major coastal cities of the world by the year 2050. Flood not only destroys the economy, but it also creates physical and psychological sufferings for the human and destroys infrastructures. Disseminating flood warnings and evacuating people from the flood-affected areas help to save human life. Therefore, predicting flood will help government authorities to take necessary actions to evacuate humans and arrange relief for the people. This licentiate thesis fo

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11

Jones, Huw Vaughan. "The application of neural network techniques to magnetic and optical inverse problems." Thesis, Bangor University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327464.

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12

Seviṇc, Süleyman 1960. "ENTITY STRUCTURE REPRESENTATION FOR LOCAL AREA NETWORK SIMULATION (SYSTEM, EXPERT)." Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/275551.

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13

Krishnaswamy, Vijay. "Heuristic network generator : an expert systems approach for selection of alternative routes during incident conditions /." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-05022009-040559/.

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14

Reynolds, Paul Laurence. "An investigation into an expert system for telecommunication network design." Thesis, University of Plymouth, 1994. http://hdl.handle.net/10026.1/2629.

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Many telephone companies, especially in Eastern-Europe and the 'third world', are developing new telephone networks. In such situations the network design engineer needs computer based tools that not only supplement his own knowledge but also help him to cope with situations where not all the information necessary for the design is available. Often traditional network design tools are somewhat removed from the practical world for which they were developed. They often ignore the significant uncertain and statistical nature of the input data. They use data taken from a fixed point in time to sol

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15

Dussault, Robert (Joseph Fernand Robert) Carleton University Dissertation Engineering Electrical. "A Diagnostic expert system for wide area networks." Ottawa, 1992.

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16

Hu, Daning. "Analysis and Applications of Social Network Formation." Diss., The University of Arizona, 2009. http://hdl.handle.net/10150/145710.

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Nowadays people and organizations are more and more interconnected in the forms of social networks: the nodes are social entities and the links are various relationships among them. The social network theory and the methods of social network analysis (SNA) are being increasingly used to study such real-world networks in order to support knowledge management and decision making in organizations. However, most existing social network studies focus on the static topologies of networks. The dynamic network link formation process is largely ignored. This dissertation is devoted to study such dynami

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17

Civelek, Ferda N. (Ferda Nur). "Temporal Connectionist Expert Systems Using a Temporal Backpropagation Algorithm." Thesis, University of North Texas, 1993. https://digital.library.unt.edu/ark:/67531/metadc278824/.

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Representing time has been considered a general problem for artificial intelligence research for many years. More recently, the question of representing time has become increasingly important in representing human decision making process through connectionist expert systems. Because most human behaviors unfold over time, any attempt to represent expert performance, without considering its temporal nature, can often lead to incorrect results. A temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems, h

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18

Zimmerman, Kurt L. "Extending Snomed to Include Explanatory Reasoning." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/11073.

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The field of medical informatics comprises many subdisciplines, united by a common interest in the establishment of standards to facilitate the sharing, reuse, and understanding of information. This work depends in large part on the ability of controlled medical terminologies to represent relevant concepts. This work augments a controlled terminology to provide not only standardized content, but also standardized explanatory knowledge for use in expert systems. This experiment consisted of four phases centered on the use of the controlled terminology-- Systemized Nomenclature of Medicine

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19

Khebbal, Sukhdev Singh. "A hybrid object-oriented environment integrating neural networks and expert systems." Thesis, University College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.281670.

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20

Johnson, Geraint. "Neuron to symbol : relevance information in hybrid systems." Thesis, Oxford Brookes University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363510.

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21

Perrott, Simon Noel. "An intelligent knowledge based system for optimising the performance of chip generator sets." Thesis, University of Greenwich, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241632.

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22

Sharma, Anil K. "A New Design Approach to an Expert System Network Manager Based on an Analysis of Contemporary Distributed Networks." NSUWorks, 1996. http://nsuworks.nova.edu/gscis_etd/831.

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Today's organizations need optimized computing environments that integrate diverse hardware, operating systems and applications, sometimes at numerous locations. The rapid growth in size and complexity of distributed networks and the use of heterogeneous components require effective tools to manage these resources. The system management aspect of distributed networks is one of the least mature components of the environment, and unfortunately it is receiving little attention by systems developers for various reasons. A new model of an expert network system network manager has been designed base

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23

Moharari, Nader S. "An electric load forecasting approach using expert systems and artificial neural networks." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/13757.

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24

Oztemel, Ercan. "Integrating expert systems and neural networks for on-line statistical process control." Thesis, Cardiff University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307382.

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25

Byrne, Carlton B. "Assembly task identification and strategy development using expert systems and neural networks." Thesis, Cardiff University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266650.

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26

Melvin, David G. "An investigation of hybrid systems for reasoning in noisy domains." Thesis, University of Aberdeen, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296622.

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This thesis discusses aspects of design, implementation and theory of expert systems, which have been constructed in a novel way using techniques derived from several existing areas of Artificial Intelligence research. In particular, it examines the philosophical and technical aspects of combining techniques derived from the traditional rule-based methods for knowledge representation, with others taken from connectionist (more commonly described as Artificial Neural Network) approaches, into one homogenous architecture. Several issues of viability have been addressed, in particular why an incr

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27

Vetcha, Sarat Babu. "Fault diagnosis in pumps by unsupervised neural networks." Thesis, University of Sussex, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300604.

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28

Burt, Graeme M. "An expert system approach to on-line fault diagnosis in power system networks." Thesis, University of Strathclyde, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340000.

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29

Guh, Ruey-Shiang. "On-line statistical process control : a hybrid intelligent approach." Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.311818.

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30

Crisp, Jennifer J. "Asset Management in Electricity Transmission Utilities: Investigation into Factors Affecting and their Impact on the Network." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/676/1/thesis_new.pdf.

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This thesis draws on techniques from Management Science and Artificial Intelligence to explore asset management in electricity transmission enterprises. In this research, factors that influence policies and practices of asset management within electricity transmission enterprises have been identified, in order to examine their interaction and how they impact the policies, practices and performance of transmission businesses. It has been found that, while there is extensive literature on the economics of transmission regulation and pricing, there is little published research linking the engin

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31

Manaf, Afwarman 1962. "Constraint-based software for broadband networks planning : a software framework for planning with the holistic approach." Monash University, Dept. of Electrical and Computer Systems Engineering, 2000. http://arrow.monash.edu.au/hdl/1959.1/7754.

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32

Manaf, Afwarman 1962. "Constraint-based software for broadband networks planninga software framework for planning with the holistic approach /." Monash University, Dept. of Electrical and Computer Systems Engineering, 2000. http://arrow.monash.edu.au/hdl/1959.1/8163.

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33

Wang, Tsomg-Niang 1953. "A modular prolog representation of a TCP protocol finite state machine." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276580.

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This paper describes a Protocol Finite State Machine (PFSM) for implementing communication protocols. Our objective is to develop and implement a general model for communication protocols based on the principles of finite state machines and make the design of transport entity more modular and easier to maintain and modify. We have designed an inference method and knowledge representation, based on semantic networks, for implementing this model. We have added interactive capability and automatic error detection to check for invalid external events and other types of errors in our model. PFSM co

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34

Fischer, Manfred M. "Expert Systems and Artificial Neural Networks for Spatial Analysis and Modelling: Essential Components for Knowledge-Based Geographical Information Systems." WU Vienna University of Economics and Business, 1992. http://epub.wu.ac.at/4216/1/WSG_DP_1792.pdf.

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35

Imran, Muhammad. "The impact of consolidating web based social networks on trust metrics and expert recommendation systems." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/385200/.

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Individuals are typically members of a variety of web-based social networks (both explicit and implied), but existing trust inference mechanisms typically draw on only a single network to calculate trust between any two individuals. This reduces both the likelihood that a trust value can be calculated (as both people have to be members of the same network), and the quality of any trust inference that can be drawn (as it will be based on only a single network, typically representing a single type of relationship). To make trust calculations on Multiple Distributed (MuDi) social networks, those

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36

Jangholi, Narges. "A bayesian network system for tinnitus diagnostics." reponame:Repositório Institucional da UFABC, 2014.

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Orientador: Prof. Dr. Peter M. E. Claessens<br>Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Neurociência e Cognição, 2014.<br>Zumbido (tinnitus) é um distúrbio comum de audição, muitas vezes debilitante em graus variados. Dado que zumbido é uma condição multifacetada, com sintomas que frequentemente são psicológicos e subjetivos, e com muitas causas potenciais, a diagnose deste distúrbio não é trivial. Por exemplo, zumbido pode ser objetivo e mensurável ou subjetivo e produzido por fatores neurais que podem ser de localização mais periférica ou central. Es

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37

Kim, Byungwhan. "Automated malfunction diagnosis of semiconductor fabrication equipment using a hybrid neural expert system." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/13861.

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38

Maksant, Jindřich. "Fuzzy Petriho sítě pro expertní systémy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217853.

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The object of this thesis is proposal and practical implementation of expert system, whose knowledge base will be modeling by fuzzy Petri nets. The proposal is based on knowledge in theoretical analysis of diagnostic expert system and fuzzy Petri nets. This proposal is realised in programming language C#. There are described functions of program and it is made a model consultation with using two different knowledge base.

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39

Crisp, Jennifer J. "Asset Management in Electricity Transmission Enterprises: Factors that affect Asset Management Policies and Practices of Electricity Transmission Enterprises and their Impact on Performance." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15884/1/Jennifer_Crisp_Thesis.pdf.

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This thesis draws on techniques from Management Science and Artificial Intelligence to explore organisational aspects of asset management in electricity transmission enterprises. In this research, factors that influence policies and practices of asset management within electricity transmission enterprises have been identified, in order to examine their interaction and how they impact the policies, practices and performance of transmission businesses. It has been found that, while there is extensive literature on the economics of transmission regulation and pricing, there is little published

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40

Crisp, Jennifer J. "Asset Management in Electricity Transmission Enterprises: Factors that affect Asset Management Policies and Practices of Electricity Transmission Enterprises and their Impact on Performance." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15884/.

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This thesis draws on techniques from Management Science and Artificial Intelligence to explore organisational aspects of asset management in electricity transmission enterprises. In this research, factors that influence policies and practices of asset management within electricity transmission enterprises have been identified, in order to examine their interaction and how they impact the policies, practices and performance of transmission businesses. It has been found that, while there is extensive literature on the economics of transmission regulation and pricing, there is little published

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41

Sichtig, Heike. "The SGE framework discovering spatio-temporal patterns in biological systems with spiking neural networks (S), a genetic algorithm (G) and expert knowledge (E) /." Diss., Online access via UMI:, 2009.

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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Bioengineering, Biomedical Engineering, 2009.<br>Includes bibliographical references.

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42

Dotti, Fernando Luis. "Um sistema de apoio à gerência de redes locais." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 1992. http://hdl.handle.net/10183/26973.

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O fluxo de informações na sociedade moderna a crescente e mais intenso a cada dia. Cada vez mais as ferramentas de tratamento da informação ou seja, os computadores, necessitam interconexão de forma a proporcionar acesso a dados importantes e serviços especializados. Neste contexto, as redes de computadores agem como catalizadores do processo de disseminação e tratamento da informação. A demanda por serviços distribuídos cresce a cada dia, fazendo com que as redes cresçam também. Muitas vezes este processo a rápido e desordenado, a entropia do sistema aumenta e seu controle torna-se uma tarefa

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43

Cauvet, Corine. "Un modele et un outil d'aide a la conception des systemes d'information." Paris 6, 1988. http://www.theses.fr/1988PA066125.

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Proposition de deux outils: un modele semantique et un outil logiciel. Le modele semantique est base sur les notions d'objet et de type d'objet. L'outil logiciel vise a aider le concepteur a construire un schema conceptuel base sur le modele semantique. L'outil est un systeme expert qui utilise un reseau semantique comme representation interne du schema. Il apporte au concepteur une veritable aide; il detecte des situations anormales ou incompletes dans le schema et suggere des enrichissements de la representation

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44

Alahakoon, Lakpriya Damminda 1968. "Data mining with structure adapting neural networks." Monash University, School of Computer Science and Software Engineering, 2000. http://arrow.monash.edu.au/hdl/1959.1/7987.

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45

Balada, Matěj. "Využití prostředků umělé inteligence pro podporu rozhodování v podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2012. http://www.nusl.cz/ntk/nusl-223600.

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This master’s thesis is focused on the issues of utilization of artificial intelligence resources for decision-making support in company and is focused on detection of the client’s solvency for the purposes of loan providing. Fuzzy logic, expert systems and analysis in MS Excel are used here.

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46

Shao, Borong. "A Mixture-of-Experts Approach for Gene Regulatory Network Inference." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3072.

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Context. Gene regulatory network (GRN) inference is an important and challenging problem in bioinformatics. A variety of machine learning algorithms have been applied to increase the GRN inference accuracy. Ensemble learning methods are shown to yield a higher inference accuracy than individual algorithms. Objectives. We propose an ensemble GRN inference method, which is based on the principle of Mixture-of-Experts ensemble learning. The proposed method can quantitatively measure the accuracy of individual GRN inference algorithms at the network motifs level. Based on the accuracy of the indiv

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47

Ahmad, Abdul-Rahim. "An Intelligent Expert System for Decision Analysis and Support in Multi-Attribute Layout Optimization." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/785.

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Layout Decision Analysis and Design is a ubiquitous problem in a variety of work domains that is important from both strategic and operational perspectives. It is largely a complex, vague, difficult, and ill-structured problem that requires intelligent and sophisticated decision analysis and design support. <br /><br /> Inadequate information availability, combinatorial complexity, subjective and uncertain preferences, and cognitive biases of decision makers often hamper the procurement of a superior layout configuration. Consequently, it is desirable to develop an intelligent decis

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48

Kmelnitsky, Vitaly M. "Automated On-line Diagnosis and Control Configuration in Robotic Systems Using Model Based Analytical Redundancy." Digital WPI, 2002. https://digitalcommons.wpi.edu/etd-theses/167.

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Because of the increasingly demanding tasks that robotic systems are asked to perform, there is a need to make them more reliable, intelligent, versatile and self-sufficient. Furthermore, throughout the robotic system?s operation, changes in its internal and external environments arise, which can distort trajectory tracking, slow down its performance, decrease its capabilities, and even bring it to a total halt. Changes in robotic systems are inevitable. They have diverse characteristics, magnitudes and origins, from the all-familiar viscous friction to Coulomb/Sticktion friction, and from str

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49

Veerapuneni, Satish Kumar. "Benchmarking smart homes using a humanoid robot approach." [Gainesville, Fla.] : University of Florida, 2004. http://purl.fcla.edu/fcla/etd/UFE0006467.

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50

Yao, Kao-Hsiung. "Artificial intelligence system for metal-injection moulding." Thesis, Queensland University of Technology, 1997.

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