Fuzzy Logic, Neural Networks, and Evolutionary Computation: IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, November 14 - 15, 1995, Selected Papers
Takeshi Furuhashi, Yoshiki Uchikawa
Springer Berlin Heidelberg, Nov 6, 1996 - Computers - 250 pages
This book includes a selection of twelve carefully revised papers chosen from the papers accepted for presentation at the 4th IEEE/Nagoya-University World Wisepersons Workshop held in Nagoya in November 1995.
The combining of the technologies of fuzzy logic, neural networks, and evolutionary computation is expected to open up a new paradigm of machine learning for the realization of human-like information generating systems. The excellent papers presented are organized in sections on fuzzy and evolutionary computation, fuzzy and learning automata, fuzzy and neural networks, genetic algorithms, and CAM-brain.
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Fuzzy Evolutionary Computation
Structure Identification of Acquired Knowledge in Fuzzy Inference
A Fuzzy Classifier System That Generates Linguistic Rules
8 other sections not shown
3D version amino acid antecedent applied approach artificial brain artificial neurons autonomous average crossover avoiding robot calculated CAM-Brain CAM8 cells cellular automata chasing robot chromosome cluster coal coding method codon computed crossover rate data ing data defined denotes DNA chromosome dynamic genetic elements equation evaluation evolutionary evolutionary algorithm evolve Figure fitness values fuzzy classifier system fuzzy if-then rules fuzzy inference rules fuzzy logic fuzzy model fuzzy neural network fuzzy neuron fuzzy partition fuzzy relation fuzzy rules fuzzy set fuzzy system GENE genetic algorithm grade of certainty grid IEEE inference rules input variables layer linguistic classification rules linguistic values machine measure membership functions modules mutation rate obstacle operation optimal output pattern classification problems performance population principal components proposed random RATs represented Section selected set quality shown shows signal stage steering control input Structure Identification Table target stock techniques UFAC methods universe of discourse vectors velocity