Bibliografías temáticas / Fuzzy neural networks

Índice

  1. Artículos de revistas
  2. Tesis
  3. Libros
  4. Capítulos de libros
  5. Actas de conferencias
  6. Informes

Literatura académica sobre el tema "Fuzzy neural networks"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 25 de julio de 2025

Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros

Elija tipo de fuente:

Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Fuzzy neural networks".

Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.

También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.

Artículos de revistas sobre el tema "Fuzzy neural networks"

1

Rao, D. H. "Fuzzy Neural Networks." IETE Journal of Research 44, no. 4-5 (1998): 227–36. http://dx.doi.org/10.1080/03772063.1998.11416049.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
2

ISHIBUCHI, Hisao, Hidehiko OKADA, and Hideo TANAKA. "Fuzzy Neural Networks with Fuzzy Weights." Transactions of the Institute of Systems, Control and Information Engineers 6, no. 3 (1993): 137–48. http://dx.doi.org/10.5687/iscie.6.137.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
3

Geng, Z. Jason. "Fuzzy CMAC Neural Networks." Journal of Intelligent and Fuzzy Systems 3, no. 1 (1995): 87–102. http://dx.doi.org/10.3233/ifs-1995-3108.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
4

Dunyak, James, and Donald Wunsch. "Fuzzy number neural networks." Fuzzy Sets and Systems 108, no. 1 (1999): 49–58. http://dx.doi.org/10.1016/s0165-0114(97)00339-4.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
5

Md., Musa Khan. "Comparison of Selection Method of a Membership Function for Fuzzy Neural Networks." International Journal of Case Studies 6, no. 11 (2017): 71–77. https://doi.org/10.5281/zenodo.3538605.

Texto completo
Resumen
Fuzzy neural networks are learning machine that realize the parameters of a fuzzy system (i.e., fuzzy sets, fuzzy rules) by exploiting approximation techniques from neural networks. In this paper, we tend to illustrate a general methodology, based on statistical analysis of the training data, for the choice of fuzzy membership functions to be utilized in reference to fuzzy neural networks. Fuzzy neural networks give for the extraction of fuzzy rules for from artificial neural network architectures. First, the technique is represented and so illustrated utilizing two experimental examinations f
Los estilos APA, Harvard, Vancouver, ISO, etc.
6

Yang, Xin. "Quantum fuzzy neural network based on fuzzy number." Frontiers in Computing and Intelligent Systems 3, no. 2 (2023): 99–105. http://dx.doi.org/10.54097/fcis.v3i2.7524.

Texto completo
Resumen
Neural network is one of the AI algorithms commonly used to process data, and has an extremely important position in scenarios such as image recognition, classification, and machine translation. With the increase of data volume explosion, the required computing power of neural networks is also significantly increased. The emergence of quantum neural networks improves the computational power of neural networks, but the accuracy of neural networks and quantum neural networks is not high in the face of the complexity and uncertainty of big data. In order to improve the efficiency and accuracy, th
Los estilos APA, Harvard, Vancouver, ISO, etc.
7

Purushothaman, G., and N. B. Karayiannis. "Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks." IEEE Transactions on Neural Networks 8, no. 3 (1997): 679–93. http://dx.doi.org/10.1109/72.572106.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
8

Blake, J. "The implementation of fuzzy systems, neural networks and fuzzy neural networks using FPGAs." Information Sciences 112, no. 1-4 (1998): 151–68. http://dx.doi.org/10.1016/s0020-0255(98)10029-4.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
9

Dunyak, James P., and Donald Wunsch. "Fuzzy regression by fuzzy number neural networks." Fuzzy Sets and Systems 112, no. 3 (2000): 371–80. http://dx.doi.org/10.1016/s0165-0114(97)00393-x.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
10

Mosleh, M., M. Otadi, and S. Abbasbandy. "Fuzzy polynomial regression with fuzzy neural networks." Applied Mathematical Modelling 35, no. 11 (2011): 5400–5412. http://dx.doi.org/10.1016/j.apm.2011.04.039.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
Más fuentes

Tesis sobre el tema "Fuzzy neural networks"

1

Glackin, Cornelius. "Fuzzy spiking neural networks." Thesis, University of Ulster, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505831.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
2

Brande, Julia K. Jr. "Computer Network Routing with a Fuzzy Neural Network." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/29685.

Texto completo
Resumen
The growing usage of computer networks is requiring improvements in network technologies and management techniques so users will receive high quality service. As more individuals transmit data through a computer network, the quality of service received by the users begins to degrade. A major aspect of computer networks that is vital to quality of service is data routing. A more effective method for routing data through a computer network can assist with the new problems being encountered with today's growing networks. Effective routing algorithms use various techniques to determine the most
Los estilos APA, Harvard, Vancouver, ISO, etc.
3

Pirovolou, Dimitrios K. "The tracking problem using fuzzy neural networks." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/14824.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
4

Frayman, Yakov, and mikewood@deakin edu au. "Fuzzy neural networks for control of dynamic systems." Deakin University. School of Computing and Mathematics, 1999. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20051017.145550.

Texto completo
Resumen
This thesis provides a unified and comprehensive treatment of the fuzzy neural networks as the intelligent controllers. This work has been motivated by a need to develop the solid control methodologies capable of coping with the complexity, the nonlinearity, the interactions, and the time variance of the processes under control. In addition, the dynamic behavior of such processes is strongly influenced by the disturbances and the noise, and such processes are characterized by a large degree of uncertainty. Therefore, it is important to integrate an intelligent component to increase the control
Los estilos APA, Harvard, Vancouver, ISO, etc.
5

Leng, Gang. "Algorithmic developments for self-organising fuzzy neural networks." Thesis, University of Ulster, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405165.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
6

RENTERIA, ALEXANDRE ROBERTO. "TRAFFIC CONTROL THROUGH FUZZY LOGIC AND NEURAL NETWORKS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2002. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=2695@1.

Texto completo
Resumen
FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO<br>Este trabalho apresenta a utilização de lógica fuzzy e de redes neurais no desenvolvimento de um controlador de semáforos - o FUNNCON. O trabalho realizado consiste em quatro etapas principais: estudo dos fundamentos de engenharia de tráfego; definição de uma metodologia para a avaliação de cruzamentos sinalizados; definição do modelo do controlador proposto; e implementação com dados reais em um estudo de caso.O estudo sobre os fundamentos de engenharia de tráfego aborda a definição de termos,os parâmetros utilizados na descr
Los estilos APA, Harvard, Vancouver, ISO, etc.
7

Kim, Hung-man. "Implementing adaptive fuzzy logic controllers with neural networks." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187160.

Texto completo
Resumen
The goal of intelligent control is to achieve control objectives for complex systems where it is impossible or infeasible to develop a mathematical system model but expert skills and heuristic knowledge from human experiences are available for control purposes. To this end, an intelligent control system must have the essential characteristics of human control experiences, i.e., linguistic knowledge representation, which facilitates the process of knowledge acquisition and transfer, and adaptive knowledge evolution or learning, which leads to the improvement in system performance and knowledge.
Los estilos APA, Harvard, Vancouver, ISO, etc.
8

Gabrys, Bogdan. "Neural network based decision support : modelling and simulation of water distribution networks." Thesis, Nottingham Trent University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387534.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
9

Bordignon, Fernando Luis. "Aprendizado extremo para redes neurais fuzzy baseadas em uninormas." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259061.

Texto completo
Resumen
Orientador: Fernando Antônio Campos Gomide<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-22T00:50:20Z (GMT). No. of bitstreams: 1 Bordignon_FernandoLuis_M.pdf: 1666872 bytes, checksum: 4d838dfb4ec418698d9ecd3b74e7c981 (MD5) Previous issue date: 2013<br>Resumo: Sistemas evolutivos são sistemas com alto nível de adaptação capazes de modificar simultaneamente suas estruturas e parâmetros a partir de um fluxo de dados, recursivamente. Aprendizagem a partir de fluxos de dados é um problema con
Los estilos APA, Harvard, Vancouver, ISO, etc.
10

Aimejalii, K., Keshav P. Dahal, and M. Alamgir Hossain. "GA-based learning algorithms to identify fuzzy rules for fuzzy neural networks." IEEE, 2007. http://hdl.handle.net/10454/2553.

Texto completo
Resumen
Identification of fuzzy rules is an important issue in designing of a fuzzy neural network (FNN). However, there is no systematic design procedure at present. In this paper we present a genetic algorithm (GA) based learning algorithm to make use of the known membership function to identify the fuzzy rules form a large set of all possible rules. The proposed learning algorithm initially considers all possible rules then uses the training data and the fitness function to perform ruleselection. The proposed GA based learning algorithm has been tested with two different sets of training
Los estilos APA, Harvard, Vancouver, ISO, etc.
Más fuentes

Libros sobre el tema "Fuzzy neural networks"

1

Abe, Shigeo. Neural Networks and Fuzzy Systems. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6253-5.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
2

Rao, Valluru. C++ neural networks and fuzzy logic. MIS:Press, 1993.

Buscar texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
3

Rao, Valluru. C++ neural networks and fuzzy logic. 2nd ed. MIS:Press, 1995.

Buscar texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
4

Furuhashi, Takeshi, and Yoshiki Uchikawa, eds. Fuzzy Logic, Neural Networks, and Evolutionary Computation. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61988-7.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
5

International conference (February 12-14, 1996 Lausanne, Switzerland). Microeletronics for neural networks and fuzzy systems. IEEE, 1996.

Buscar texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
6

Yager, R. R. Fuzzy sets, neural networks and soft computing. Van Nostrand Reinhold, 1994.

Buscar texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
7

1941-, Yager Ronald R., and Zadeh Lotfi Asker, eds. Fuzzy sets, neural networks, and soft computing. Van Nostrand Reinhold, 1994.

Buscar texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
8

Stavroulakis, Peter. Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications. Springer Berlin Heidelberg, 2004.

Buscar texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
9

Horst, Bunke, and Kandel Abraham, eds. Neuro-fuzzy pattern recognition. World Scientific, 2000.

Buscar texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
10

Aliev, Rafik Aziz, and Babek Ghalib Guirimov. Type-2 Fuzzy Neural Networks and Their Applications. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09072-6.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
Más fuentes

Capítulos de libros sobre el tema "Fuzzy neural networks"

1

Rojas, Raúl. "Fuzzy Logic." In Neural Networks. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-61068-4_11.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
2

Czogała, Ernest, and Jacek Łęski. "Artificial neural networks." In Fuzzy and Neuro-Fuzzy Intelligent Systems. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1853-6_3.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
3

Singh, Himanshu, and Yunis Ahmad Lone. "Fuzzy Neural Networks." In Deep Neuro-Fuzzy Systems with Python. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5361-8_6.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
4

Fullér, Robert. "Fuzzy neural networks." In Introduction to Neuro-Fuzzy Systems. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1852-9_3.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
5

Prasad, Nadipuram Ram R. "Neural Networks and Fuzzy Logic." In Fuzzy Systems. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5505-6_11.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
6

Abe, Shigeo. "Other Neural Networks." In Neural Networks and Fuzzy Systems. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6253-5_4.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
7

Fullér, Robert. "Artificial neural networks." In Introduction to Neuro-Fuzzy Systems. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1852-9_2.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
8

Stavroulakis, Peter. "Appendix A. Overview of Neural Networks." In Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18762-9_8.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
9

Singh, Himanshu, and Yunis Ahmad Lone. "Artificial Neural Networks." In Deep Neuro-Fuzzy Systems with Python. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-5361-8_5.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
10

Jin, Yaochu. "Artificial Neural Networks." In Advanced Fuzzy Systems Design and Applications. Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-7908-1771-3_3.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.

Actas de conferencias sobre el tema "Fuzzy neural networks"

1

Petrova, A. K., and S. E. Abramkin. "Hybrid Fuzzy Neural Networks (HFNNs): A Study on Combining Fuzzy Logic and Neural Networks." In 2025 XXVIII International Conference on Soft Computing and Measurements (SCM). IEEE, 2025. https://doi.org/10.1109/scm66446.2025.11060037.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
2

Kowalski, Piotr A., and Tomasz Sloczynski. "Mitigating Saturation in Fuzzy-Flip-Flop Neural Networks Trained with Memetic PSO Algorithm." In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2024. http://dx.doi.org/10.1109/fuzz-ieee60900.2024.10611809.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
3

Kumar, Manish, and Devendra P. Garg. "Neural Network Based Intelligent Learning of Fuzzy Logic Controller Parameters." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59589.

Texto completo
Resumen
Design of an efficient fuzzy logic controller involves the optimization of parameters of fuzzy sets and proper choice of rule base. There are several techniques reported in recent literature that use neural network architecture and genetic algorithms to learn and optimize a fuzzy logic controller. This paper presents methodologies to learn and optimize fuzzy logic controller parameters that use learning capabilities of neural network. Concepts of model predictive control (MPC) have been used to obtain optimal signal to train the neural network via backpropagation. The strategies developed have
Los estilos APA, Harvard, Vancouver, ISO, etc.
4

Aouiti, Chaouki, Farah Dridi, and Fakhri Karray. "New Results on Neutral Type Fuzzy Based Cellular Neural Networks." In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2018. http://dx.doi.org/10.1109/fuzz-ieee.2018.8491607.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
5

Ji-Cheng Duan and Fu-Lai Chung. "Cascading fuzzy neural networks." In Proceedings of 8th International Fuzzy Systems Conference. IEEE, 1999. http://dx.doi.org/10.1109/fuzzy.1999.793206.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
6

Amina, Mahdi, and Vassilis S. Kodogiannis. "Load forecasting using fuzzy wavelet neural networks." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007492.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
7

Kowalski, Piotr A., and Tomasz Sloczynski. "Saturation in Fuzzy Flip-Flop Neural Networks." In 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2022. http://dx.doi.org/10.1109/fuzz-ieee55066.2022.9882672.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
8

Aversano, Lerina, Mario Luca Bernardi, Marta Cimitile, and Riccardo Pecori. "Fuzzy Neural Networks to Detect Parkinson Disease." In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2020. http://dx.doi.org/10.1109/fuzz48607.2020.9177948.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
9

Wang, Jing, Chi-Hsu Wang, and C. L. Philip Chen. "Finding the capacity of Fuzzy Neural Networks (FNNs) via its equivalent fully connected neural networks (FFNNs)." In 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2011. http://dx.doi.org/10.1109/fuzzy.2011.6007473.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
10

Taur, J. S., and S. Y. Kung. "Fuzzy-decision neural networks." In Proceedings of ICASSP '93. IEEE, 1993. http://dx.doi.org/10.1109/icassp.1993.319184.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.

Informes sobre el tema "Fuzzy neural networks"

1

Maurer, W. J., and F. U. Dowla. Seismic event interpretation using fuzzy logic and neural networks. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10139515.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
2

Willson. L51756 State of the Art Intelligent Control for Large Engines. Pipeline Research Council International, Inc. (PRCI), 1996. http://dx.doi.org/10.55274/r0010423.

Texto completo
Resumen
Computers have become a vital part of the control of pipeline compressors and compressor stations. For many tasks, computers have helped to improve accuracy, reliability, and safety, and have reduced operating costs. Computers excel at repetitive, precise tasks that humans perform poorly - calculation, measurement, statistical analysis, control, etc. Computers are used to perform these type of precise tasks at compressor stations: engine / turbine speed control, ignition control, horsepower estimation, or control of complicated sequences of events during startup and/or shutdown. For other task
Los estilos APA, Harvard, Vancouver, ISO, etc.
3

Karakowski, Joseph A., and Hai H. Phu. A Fuzzy Hypercube Artificial Neural Network Classifier. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada354805.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
4

Huang, Z., J. Shimeld, and M. Williamson. Application of computer neural network, and fuzzy set logic to petroleum geology, offshore eastern Canada. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/194121.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
5

Rajagopalan, A., G. Washington, G. Rizzoni, and Y. Guezennec. Development of Fuzzy Logic and Neural Network Control and Advanced Emissions Modeling for Parallel Hybrid Vehicles. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/15006009.

Texto completo
Los estilos APA, Harvard, Vancouver, ISO, etc.
También puede estar interesado en las bibliografías ampliadas sobre el tema "Fuzzy neural networks" para tipos de fuentes particulares:
Artículos de revistas Tesis Libros
Ofrecemos descuentos en todos los planes premium para autores cuyas obras están incluidas en selecciones literarias temáticas. ¡Contáctenos para obtener un código promocional único!

Pasar a la bibliografía