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Dissertations / Theses on the topic 'Neuro-fuzzy logic'

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Published: 2 June 2025

Last updated: 31 July 2025

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1

Nukala, Ramesh Babu. "Neuro-fuzzy controllers for unstable systems." Thesis, Lancaster University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364362.

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2

Dalecký, Štěpán. "Neuro-fuzzy systémy." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236066.

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The thesis deals with artificial neural networks theory. Subsequently, fuzzy sets are being described and fuzzy logic is explained. The hybrid neuro-fuzzy system stemming from ANFIS system is designed on the basis of artificial neural networks, fuzzy sets and fuzzy logic. The upper-mentioned systems' functionality has been demonstrated on an inverted pendulum controlling problem. The three controllers have been designed for the controlling needs - the first one is on the basis of artificial neural networks, the second is a fuzzy one, and the third is based on ANFIS system. The thesis is aimed

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3

Thompson, Richard. "Neuro-fuzzy predictive control of an information-poor system." Thesis, University of Oxford, 2002. http://ora.ox.ac.uk/objects/uuid:e463774c-a1c6-439e-a7e6-3cbb7aec68e3.

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While modern engineering systems have become increasingly integrated and complex over the years, interest in the application of control techniques which specifically attempt to formulate and solve the control problem in its inherently uncertain environment has been moderate, at best. More specifically, although many control schemes targeted at Heating, Ventilating and Air-Conditioning (HVAC) systems have been reported in the literature, most seem to rely on conventional techniques which assume that a detailed, precise model of the HVAC plant exists, and that the control objectives of the contr

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4

Silva, Aldo Antonio Vieira da [UNESP]. "Desenvolvimento de aplicações em medicina e agronomia utilizando lógica fuzzy e neuro fuzzy." Universidade Estadual Paulista (UNESP), 2014. http://hdl.handle.net/11449/110517.

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Made available in DSpace on 2014-11-10T11:09:49Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-02-28Bitstream added on 2014-11-10T11:58:00Z : No. of bitstreams: 1 000794270.pdf: 1454507 bytes, checksum: 21c1e569f66804233a47b876585652ce (MD5)<br>O presente trabalho propõe duas novas metodologias de desenvolvimento: uma na área de medicina, no diagnóstico de hérnia inguinal utilizando a lógica fuzzy e outra, na área da agronomia, para estimação da produção de trigo utilizando o modelo de inferência adaptativo neuro fuzzy. Na primeira foi desenvolvido um aplicativo para dispositivos móv

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5

Conroy, Justin Anderson. "Analysis of adaptive neuro-fuzzy network structures." Thesis, Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/19684.

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6

Raad, Raad. "Neuro-fuzzy admission control in mobile communications systems." Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20061030.153500/index.html.

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7

Silva, Aldo Antonio Vieira da. "Desenvolvimento de aplicações em medicina e agronomia utilizando lógica fuzzy e neuro fuzzy /." Ilha Solteira, 2014. http://hdl.handle.net/11449/110517.

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Orientador: Marcelo Carvalho Minhoto Teixeira<br>Banca: Evaldo Assunção<br>Banca: Rodrigo Cardim<br>Banca: Cristiano Quevedo Andrea<br>Banca: Ruy de Oliveira<br>Resumo: O presente trabalho propõe duas novas metodologias de desenvolvimento: uma na área de medicina, no diagnóstico de hérnia inguinal utilizando a lógica fuzzy e outra, na área da agronomia, para estimação da produção de trigo utilizando o modelo de inferência adaptativo neuro fuzzy. Na primeira foi desenvolvido um aplicativo para dispositivos móveis, smartphones e tablets, auxiliando a tomada de decisão no diagnóstico de pacientes

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8

NETO, LUIZ SABINO RIBEIRO. "ARTIFICIAL NEURAL NETWORKS, FUZZY LOGIC AND NEURO-FUZZY SYSTEM IN THE ROLE OF SHORT TERM LOAD FORECAST." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1999. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=7419@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>ELETROBRAS - CENTRAIS ELÉTRICAS BRASILEIRAS S. A.<br>Esta dissertação investiga o desempenho de técnicas de inteligência computacional na previsão de carga em curto prazo. O objetivo deste trabalho foi propor e avaliar sistemas de redes neurais, lógica nebulosa, neuro-fuzzy e híbridos para previsão de carga em curto prazo, utilizando como entradas variáveis que influenciam o comportamento da carga, tais como: temperatura, índice de conforto e perfil de consumo. Este trabalho envolve 4 etapas principais: um estudo sobre pr

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9

Silva, Inara Aparecida Ferrer [UNESP]. "Aplicações de redes neurais e neuro fuzzy em engenharia biomédica e agronomia." Universidade Estadual Paulista (UNESP), 2014. http://hdl.handle.net/11449/110516.

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Made available in DSpace on 2014-11-10T11:09:48Z (GMT). No. of bitstreams: 0 Previous issue date: 2014-02-28Bitstream added on 2014-11-10T11:58:00Z : No. of bitstreams: 1 000794379.pdf: 1678626 bytes, checksum: b6d9b23c03cc8335775be33854ac5879 (MD5)<br>Os sistemas fuzzy e neuro fuzzy têm sido usados com sucesso para resolver problemas em diversas áreas, como medicina, indústria, controle, agronomia e aplicações acadêmicas. Nas últimas décadas, as redes neurais têm sido utilizadas para identificação, avaliação e previsão e dados na medicina e na agronomia. Nesta tese, realizou-se um novo estu

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10

Silva, Inara Aparecida Ferrer. "Aplicações de redes neurais e neuro fuzzy em engenharia biomédica e agronomia /." Ilha Solteira, 2014. http://hdl.handle.net/11449/110516.

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Orientador: Marcelo Carvalho Minhoto Teixeira<br>Banca: Edvaldo Assunção<br>Banca: Aparecido Augusto de Carvalho<br>Banca: Cristiano Quevedo Andrea<br>Banca: Valtemir Emerencio do Nascimento<br>Resumo: Os sistemas fuzzy e neuro fuzzy têm sido usados com sucesso para resolver problemas em diversas áreas, como medicina, indústria, controle, agronomia e aplicações acadêmicas. Nas últimas décadas, as redes neurais têm sido utilizadas para identificação, avaliação e previsão e dados na medicina e na agronomia. Nesta tese, realizou-se um novo estudo comparativo entre as redes neuro fuzzy (ANFIS), re

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11

Funsten, Brad Thomas Mr. "ECG Classification with an Adaptive Neuro-Fuzzy Inference System." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1380.

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Heart signals allow for a comprehensive analysis of the heart. Electrocardiography (ECG or EKG) uses electrodes to measure the electrical activity of the heart. Extracting ECG signals is a non-invasive process that opens the door to new possibilities for the application of advanced signal processing and data analysis techniques in the diagnosis of heart diseases. With the help of today’s large database of ECG signals, a computationally intelligent system can learn and take the place of a cardiologist. Detection of various abnormalities in the patient’s heart to identify various heart diseases

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12

Chaves, Luciano Eustáquio [UNESP]. "Modelos computacionais fuzzy e neuro-fuzzy para avaliarem os efeitos da poluição do ar." Universidade Estadual Paulista (UNESP), 2013. http://hdl.handle.net/11449/105352.

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Made available in DSpace on 2014-06-11T19:34:58Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-07-26Bitstream added on 2014-06-13T19:44:42Z : No. of bitstreams: 1 chaves_le_dr_guara.pdf: 1947123 bytes, checksum: ee8c45d5619f8378be62c209cfe77f98 (MD5)<br>O presente estudo teve por objetivo verificar a associação entre a exposição aos poluentes do ar e o número de internações hospitalares por asma e pneumonia. Para a verificação foi proposto desenvolver e validar modelos fuzzy (Mamdani) e neuro-fuzzy (Sugeno) e comparar qual dos modelos apresenta uma melhor eficácia para a predição de

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Chaves, Luciano Eustáquio 1973. "Modelos computacionais fuzzy e neuro-fuzzy para avaliarem os efeitos da poluição do ar /." Guaratinguetá, 2013. http://hdl.handle.net/11449/105352.

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Orientador: Luiz fernando Costa Nascimento<br>Coorientador: Paloma Maria Silva Rocha Rizol<br>Banca: Leonardo Mesquita<br>Banca: Andrea Paula Peneluppi de Medeiros<br>Banca: Maria Helena Baena de Moraes Lopes<br>Banca: Marcos Arbex<br>Resumo: O presente estudo teve por objetivo verificar a associação entre a exposição aos poluentes do ar e o número de internações hospitalares por asma e pneumonia. Para a verificação foi proposto desenvolver e validar modelos fuzzy (Mamdani) e neuro-fuzzy (Sugeno) e comparar qual dos modelos apresenta uma melhor eficácia para a predição de internações. A metodo

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14

Wang, Liren. "An approach to neuro-fuzzy feedback control in statistical process control." Thesis, University of South Wales, 2001. https://pure.southwales.ac.uk/en/studentthesis/an-approach-to-neurofuzzy-feedback-control-in-statistical-process-control(7d9c736f-e85d-4873-a6bb-9bcea107d371).html.

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It is a difficult challenge to develop a feedback control system for Statistical Process Control (SPC) because there is no effective method that can be used to calculate the accurate magnitude of feedback control actions in traditional SPC. Suitable feedback adjustments are generated from the experiences of process engineers. This drawback means that the SPC technique can not be directly applied in an automatic system. This thesis is concerned with Fuzzy Sets and Fuzzy Logic applied to the uncertainty of relationships between the SPC (early stage) alarms and SPC implementation. Based on a numb

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15

Killing, Jonathan. "Design and development of an intelligent neuro-fuzzy system for automated visual inspection." Thesis, Kingston, Ont. : [s.n.], 2007. http://hdl.handle.net/1974/443.

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16

Hanlon, Nicholas P. "Neuro-Fuzzy Dynamic Programming for Decision-Making and Resource Allocation during Wildland Fires." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1321370261.

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17

Shook, David Adam. "Control of a benchmark structure using GA-optimized fuzzy logic control." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1088.

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França, Daniel cruz de. "Modelagem de um adaptive neuro fuzzy inference system para análise de risco em projetos." Universidade Federal da Paraíba, 2016. http://tede.biblioteca.ufpb.br:8080/handle/tede/8163.

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Submitted by Maike Costa (maiksebas@gmail.com) on 2016-04-29T13:48:06Z No. of bitstreams: 1 arquivo total.pdf: 1906817 bytes, checksum: 6bf3c54782cfdea75b86311d9bc28cb9 (MD5)<br>Made available in DSpace on 2016-04-29T13:48:06Z (GMT). No. of bitstreams: 1 arquivo total.pdf: 1906817 bytes, checksum: 6bf3c54782cfdea75b86311d9bc28cb9 (MD5) Previous issue date: 2016-02-22<br>Several researches highlight the importance of risk management in project management. Many authors propose traditional models with statistical and deterministic methods, though some risk project management issues are ba

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Maduko, Elizabeth. "Development and testing of a neuro-fuzzy classification system for IOS data in asthmatic children." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2007. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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20

Shekarriz, Mona. "The foundation of capability modelling : a study of the impact and utilisation of human resources." Thesis, Brunel University, 2011. http://bura.brunel.ac.uk/handle/2438/5257.

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This research aims at finding a foundation for assessment of capabilities and applying the concept in a human resource selection. The research identifies a common ground for assessing individuals’ applied capability in a given job based on literature review of various disciplines in engineering, human sciences and economics. A set of criteria is found to be common and appropriate to be used as the basis of this assessment. Applied Capability is then described in this research as the impact of the person in fulfilling job requirements and also their level of usage from their resources with rega

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Chen, Chen. "Soft Computing-based Life-Cycle Cost Analysis Tools for Transportation Infrastructure Management." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/28214.

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Increasing demands, shrinking financial and human resources, and increased infrastructure deterioration have made the task of maintaining the infrastructure systems more challenging than ever before. Life-cycle cost analysis (LCCA) is an important tool for transportation infrastructure management, which is used extensively to support project level decisions, and is increasingly being applied to enhance network level analysis. However, traditional LCCA tools cannot practically and effectively utilize expert knowledge and handle ambiguous uncertainties. The main objective of this dissertation w

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Lima, Fábio. "Estimador neuro-fuzzy de velocidade aplicado ao controle vetorial sem sensores de motores de indução trifásicos." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3143/tde-20092011-150232/.

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Este trabalho apresenta uma alternativa ao controle vetorial de motores de indução, sem a utilização de sensores para realimentação da velocidade mecânica do motor. Ao longo do tempo, diversas técnicas de controle vetorial têm sido propostas na literatura. Dentre elas está a técnica de controle por orientação de campo (FOC), muito utilizada na indústria e presente também neste trabalho. A principal desvantagem do FOC é a sua grande sensibilidade às variações paramétricas da máquina, as quais podem invalidar o modelo e as ações de controle. Nesse sentido, uma estimativa correta dos parâmetros d

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Ocampo, Duque William Andrés. "On the development of decision-making systems based on fuzzy models to assess water quality in rivers." Doctoral thesis, Universitat Rovira i Virgili, 2008. http://hdl.handle.net/10803/8566.

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There are many situations where a linguistic description of complex phenomena allows better assessments. It is well known that the assessment of water quality continues depending heavily upon subjective judgments and interpretation, despite the huge datasets available nowadays. In that sense, the aim of this study has been to introduce intelligent linguistic operations to analyze databases, and produce self interpretable water quality indicators, which tolerate both imprecision and linguistic uncertainty. Such imprecision typically reflects the ambiguity of human thinking when perceptions need

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Sanches, Heleno da Luz Monteiro. "Optimização do despacho e reserva girante em sistemas eléctricos híbridos. Estudo de caso: sistema eléctrico da Ilha de Santiago em Cabo Verde." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8737.

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Dissertação para obtenção do grau de Mestre em Energias Renováveis – Conversão Eléctrica e Utilização Sustentáveis<br>Com os avanços conseguidos no campo de tecnologias de conversão de energias renováveis nos últimos 20 anos, e as escaladas no preço do petróleo dos últimos anos, tornou-se mais atractivo investir em tecnologias de conversão de energias renováveis, principalmente em sistemas eléctricos isolados de elevada disponibilidade de recursos renováveis, como é o caso do sistema eléctrico da ilha de Santiago em Cabo Verde, onde aumentou-se consideravelmente a penetração renovável nos últi

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Aslan, Muhittin. "Modeling The Water Quality Of Lake Eymir Using Artificial Neural Networks (ann) And Adaptive Neuro Fuzzy Inference System (anfis)." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610211/index.pdf.

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Lakes present in arid regions of Central Anatolia need further attention with regard to water quality. In most cases, mathematical modeling is a helpful tool that might be used to predict the DO concentration of a lake. Deterministic models are frequently used to describe the system behavior. However most ecological systems are so complex and unstable. In case, the deterministic models have high chance of failure due to absence of priori information. For such cases black box models might be essential. In this study DO in Eymir Lake located in Ankara was modeled by using both Artificial Neural

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Gil, Mauro Cesar Cantarino. "Aplicação de redes neuro-fuzzy para a solução de problemas inversos em transferência radiativa." Universidade do Estado do Rio de Janeiro, 2010. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=1605.

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Nesta tese é proposta uma implementação para a solução do problema inverso com as estimativas das propriedades radiativas (o albedo de espalhamento simples, a espessura ótica do meio e as reflectividades difusas) a partir dos valores das intensidades de radiação que deixam o meio participante utilizando uma abordagem híbrida de sistemas neuro-fuzzy (SNF), o qual combina a utilização de sistemas de inferência fuzzy com as redes neurais artificiais. Busca-se com a utilização desse sistema híbrido integrar a habilidade dos sistemas fuzzy no tratamento de informações inexatas, imprecisas, e vagas,

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Ollé, Tamás. "Klasifikace vzorů pomocí fuzzy neuronových sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219728.

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Práce popisuje základy principu funkčnosti neuronů a vytvoření umělých neuronových sítí. Je zde důkladně popsána struktura a funkce neuronů a ukázán nejpoužívanější algoritmus pro učení neuronů. Základy fuzzy logiky, včetně jejich výhod a nevýhod, jsou rovněž prezentovány. Detailněji je popsán algoritmus zpětného šíření chyb a adaptivní neuro-fuzzy inferenční systém. Tyto techniky poskytují efektivní způsoby učení neuronových sítí.

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Března, Filip Samuel. "Využití umělé inteligence jako podpory pro rozhodování v podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2020. http://www.nusl.cz/ntk/nusl-417710.

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Artificial intelligence and fuzzy logic related to it currently belong to very popular and rapidly expanding technological subjects. It finds use in many areas, which also include the process of prediction of future states based on specific finite input characteristics. This master’s thesis deals with predictions that are done in field of agricultural crops growing. Basic principles that are affecting mentioned agricultural growing are explained here, their meaning and significance are specified, these are later on perceived as a key aspect to creation of fuzzy models that are used for predict

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Sunny, Mohammed Rabius. "Towards Structural Health Monitoring of Gossamer Structures Using Conductive Polymer Nanocomposite Sensors." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/28797.

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The aim of this research is to calibrate conductive polymer nanocomposite materials for large strain sensing and develop a structural health monitoring algorithm for gossamer structures by using nanocomposites as strain sensors. Any health monitoring system works on the principle of sensing the response (strain, acceleration etc.) of the structure to an external excitation and analyzing the response to find out the location and the extent of the damage in the structure. A sensor network, a mathematical model of the structure, and a damage detection algorithm are necessary components of a struc

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Васильєва, Тетяна Анатоліївна, Татьяна Анатольевна Васильева, Tetiana Anatoliivna Vasylieva, and O. Skrynnyk. "Neuro-Genetic Hybrid System for Management of Organizational Development Measures." Thesis, RWTH Aachen University, 2020. https://essuir.sumdu.edu.ua/handle/123456789/85490.

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Current practical experience in measuring the effectiveness of organizational development activities is largely based on the evaluation of surveys. In this paper we present an approach based on an artificial neural network with elements of a fuzzy approach and a genetic algorithm to control organizational development. Based on genetic algorithms, the organizational development measures are initiated, selected, combined or mutated with the goal of finding the best possible solution for each concrete case. Since many variables have the uncertain set of their values, the use of a hybrid neuro-fuz

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SILVA, Ana Maria Ribeiro Bastos da. "Avaliação da qualidade da água bruta superficial das barragens de Bita e Utinga de Suape aplicando estatística e sistemas inteligentes." Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/17404.

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Aquino, Pedro Luiz da Mota e. "Inteligência computacional aplicada à modelagem e otimização de bioprocessos." Universidade Federal de São Carlos, 2016. https://repositorio.ufscar.br/handle/ufscar/8771.

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Arsava, Kemal Sarp. "Modeling, Control and Monitoring of Smart Structures under High Impact Loads." Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-dissertations/105.

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In recent years, response analysis of complex structures under impact loads has attracted a great deal of attention. For example, a collision or an accident that produces impact loads that exceed the design load can cause severe damage on the structural components. Although the AASHTO specification is used for impact-resistant bridge design, it has many limitations. The AASHTO specification does not incorporate complex and uncertain factors. Thus, a well-designed structure that can survive a collision under specific conditions in one region may be severely damaged if it were impacted by a dif

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Mohammadzadeh, Soroush. "System identification and control of smart structures: PANFIS modeling method and dissipativity analysis of LQR controllers." Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-theses/868.

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"Maintaining an efficient and reliable infrastructure requires continuous monitoring and control. In order to accomplish these tasks, algorithms are needed to process large sets of data and for modeling based on these processed data sets. For this reason, computationally efficient and accurate modeling algorithms along with data compression techniques and optimal yet practical control methods are in demand. These tools can help model structures and improve their performance. In this thesis, these two aspects are addressed separately. A principal component analysis based adaptive neuro-fuzzy in

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Shankar, Arunprasath. "ONTOLOGY-DRIVEN SEMI-SUPERVISED MODEL FOR CONCEPTUAL ANALYSIS OF DESIGN SPECIFICATIONS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1401706747.

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Kanne, Juliane. "Anwendung von Neuro-Fuzzy Methoden für die Robotersteuerung." [S.l. : s.n.], 2004. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB11312760.

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Burton, Anthony Richard. "A hybrid neuro-genetic pattern evolution system applied to musical composition." Thesis, University of Surrey, 1998. http://epubs.surrey.ac.uk/2875/.

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Hafezi, Nazila. "An integrated software package for model-based neuro-fuzzy classification of small airway dysfunction." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Aghakhani, Sara. "Neuro-fuzzy architecture based on complex fuzzy logic." 2010. http://hdl.handle.net/10048/891.

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Thesis (M.Sc.)--University of Alberta, 2010.<br>Title from PDF file main screen (viewed on May 7, 2010). A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering and Intelligent Systems, Department of Electrical and Computer Engineering, University of Alberta. Includes bibliographical references.

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Sara, Aghakhani. "Neuro-fuzzy architectures based on complex fuzzy logic." Master's thesis, 2010. http://hdl.handle.net/10048/891.

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Complex fuzzy logic is a new type of multi-valued logic, in which truth values are drawn from the unit disc of the complex plane; it is thus a generalization of the familiar infinite-valued fuzzy logic. At the present time, all published research on complex fuzzy logic is theoretical in nature, with no practical applications demonstrated. The utility of complex fuzzy logic is thus still very debatable. In this thesis, the performance of ANCFIS is evaluated. ANCFIS is the first machine learning architecture to fully implement the ideas of complex fuzzy logic, and was designed to solve the impor

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Multani, Munish. "Design and Optimization of Intelligent PI Controllers (Fuzzy and Neuro-Fuzzy) for HVDC Transmission System." Thesis, 2010. http://hdl.handle.net/10155/103.

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This thesis deals with enhancing the performance of Fuzzy Logic (FL) based PI controllers for High Voltage Direct Current Transmission Systems (HVDC) by optimizing the key parameters i.e. membership functions (MFs) and fuzzy rule base in the controllers design. In the first part of the thesis, an adaptive Fuzzy PI controller is designed and the effect of various MF shapes, widths and distribution on the performance of a FL controlled HVDC system under different system conditions is studied with the aim of selecting a MF which minimizes the total control error. Simulated results show that the s

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Patel, Pretesh Bhoola. "A forecasting of indices and corresponding investment decision making application." Thesis, 2007. http://hdl.handle.net/10539/2191.

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Student Number : 9702018F - MSc(Eng) Dissertation - School of Electrical and Information Engineering - Faculty of Engineering and the Built Environment<br>Due to the volatile nature of the world economies, investing is crucial in ensuring an individual is prepared for future financial necessities. This research proposes an application, which employs computational intelligent methods that could assist investors in making financial decisions. This system consists of 2 components. The Forecasting Component (FC) is employed to predict the closing index price performance. Based on these predi

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Nguyen, Huy Huynh. "A neural fuzzy approach to modeling the thermal behavior of power transformers." Thesis, 2007. https://vuir.vu.edu.au/1495/.

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This thesis presents an investigation and a comparative study of four different approaches namely ANSI/IEEE standard models, Adaptive Neuro-Fuzzy Inference System (ANFIS), Multilayer Feedforward Neural Network (MFNN) and Elman Recurrent Neural Network (ERNN) to modeling and prediction of the top and bottom-oil temperatures for the 8 MVA Oil Air (OA)-cooled and 27 MVA Forced Air (FA)-cooled class of power transformers. The models were derived from real data of temperature measurements obtained from two industrial power installations. A comparison of the proposed techniques is presented for pred

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Paiva, Rui Pedro Pinto de Carvalho e. "Identificação neuro-difusa: aspectos de interpretabilidade." Master's thesis, 1999. http://hdl.handle.net/10316/15368.

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Dissertação de mestrado apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra<br>No momento presente da História, é lícito afirmar-se que a humanidade se encontra em plena era da informação. De facto, em qualquer aspecto da sociedade, desde as actividades de lazer até aos mais complexos sistemas de produção, é notória a presença e influência das tecnologias de informação. Assim, assiste-se presentemente a um forte impulso na investigação, desenvolvimento e aplicação de metodologias de computação aos processos industriais de produção. Na verdade, o elevado grau de com

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