| Description |
1 online resource (viii, 223 pages) : illustrations |
| Series |
Lecture notes in computer science ; 1011. Lecture notes in artificial intelligence |
|
Lecture notes in computer science ; 1011.
|
|
Lecture notes in computer science. Lecture notes in artificial intelligence.
|
| Contents |
Fuzzy associative memory system and its application to multi-modal interface / Hirohide Ushida [and others] -- Hybrid connectionist fuzzy systems for speech recognition and the use of connectionist production systems / Nikola K. Kasabov -- Fuzzy Gaussian potential neural networks using a functional reasoning / Mohammad Teshnehlab, Keigo Watanabe -- Recurrent fuzzy logic using neural network / Emdad Khan, Fatih Unal -- Information aggregating networks based on extended Sugeno's fuzzy integral / Keon-Myung Lee, Hyung Lee-Kwang -- A neuro-fuzzy architecture for high performance classification / Sung-Bae Cho -- Investigation of stability and robustness of a fuzzy traction control system / Christian Schuster, Thomas Schmitz, Manfred Hiller -- Knowledge-based rules for control of the sake (Ginjoshu) making process and their application in fuzzy control / H. Honda [and others] -- A framework for studying the effects of dynamic crossover, mutation, and population sizing in genetic algorithms / Michael A. Lee, Hideyuki Takagi -- Unsupervised/supervised learning for RBF-fuzzy system adaptive rules : membership functions and hierarchical structure by genetic algorithm / Koji Shimojima, Yasuhisa Hasegawa, Toshio Fukuda -- Genetic algorithms for the developments of fuzzy controllers for mobile robots / Donald Leitch, Penelope Probert -- A new approach to genetic based machine learning and an efficient finding of fuzzy rules : proposal of Nagoya approach / Takeshi Furuhashi [and others] -- A neuro-money recognition using optimized masks by GA / Fumiaki Takeda, Sigeru Omatu -- Genetic-fuzzy systems for financial decision making / Suran Goonatilake, John A. Campbell, Nesar Ahmad |
| Summary |
This book presents 14 rigorously reviewed revised papers selected from more than 50 submissions for the 1994 IEEE/ Nagoya-University World Wisepersons Workshop, WWW'94, held in August 1994 in Nagoya, Japan. The combination of approaches based on fuzzy logic, neural networks and genetic algorithms are expected to open a new paradigm of machine learning for the realization of human-like information processing systems. The first six papers in this volume are devoted to the combination of fuzzy logic and neural networks; four papers are on how to combine fuzzy logic and genetic algorithms. Four papers investigate challenging applications of fuzzy systems and of fuzzy-genetic algorithms |
| Bibliography |
Includes bibliographical references |
| Notes |
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL |
|
Print version record |
|
digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL |
| Subject |
Neural networks (Computer science)
|
|
Fuzzy systems.
|
|
Genetic algorithms.
|
|
Genetic algorithms -- Congresses
|
|
Neural networks (Computer science) -- Congresses
|
|
Fuzzy systems -- Congresses
|
|
Neural Networks, Computer
|
|
Fuzzy systems
|
|
Genetic algorithms
|
|
Neural networks (Computer science)
|
|
Fuzzy logic.
|
|
Neurale netwerken.
|
|
Algorithmes génétiques.
|
|
Réseaux neuronaux (informatique)
|
|
Logique floue.
|
| Genre/Form |
Conference papers and proceedings
|
| Form |
Electronic book
|
| Author |
Furuhashi, T. (Takeshi)
|
| ISBN |
9783540484578 |
|
3540484574 |
|
