Fuzzy Logic, Neural Networks, and Evolutionary Computation [electronic resource] : IEEE/Nagoya-University World Wisepersons Workshop Nagoya, Japan, November 14–15, 1995 Selected Papers / edited by Takeshi Furuhashi, Yoshiki Uchikawa.

Contributor(s): Furuhashi, Takeshi [editor.] | Uchikawa, Yoshiki [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence ; 1152Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1996Description: X, 250 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540495819Subject(s): Computer science | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Mathematical Logic and Formal Languages | Computation by Abstract DevicesAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342TJ210.2-211.495Online resources: Click here to access online
Contents:
The design of hybrid fuzzy/evolutionary multiobjective optimization algorithms -- Structure identification of acquired knowledge in fuzzy inference by genetic algorithms -- A fuzzy classifier system that generates linguistic rules for pattern classification problems -- Numerical coding and unfair average crossover in GA for fuzzy rule extraction in dynamic environments -- Acquisition of fuzzy rules from DNA coding method -- Experimental study on acquisition of optimal action for autonomous mobile robot to avoid moving multiobstacles -- New approaches on structure identification of fuzzy models: Case study in an electro-mechanical system -- A generic fuzzy neuron and its application to motion estimation -- Fizzy-Fuzzy inferencing -- Multi-layer perceptron design using Delaunay triangulations -- A genetic algorithm for planning coal purchase of a real electric power plant -- “CAM-Brain? ATR's billion neuron artificial brain project a three year progress report.
In: Springer eBooksSummary: 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.
Item type: E-BOOKS
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The design of hybrid fuzzy/evolutionary multiobjective optimization algorithms -- Structure identification of acquired knowledge in fuzzy inference by genetic algorithms -- A fuzzy classifier system that generates linguistic rules for pattern classification problems -- Numerical coding and unfair average crossover in GA for fuzzy rule extraction in dynamic environments -- Acquisition of fuzzy rules from DNA coding method -- Experimental study on acquisition of optimal action for autonomous mobile robot to avoid moving multiobstacles -- New approaches on structure identification of fuzzy models: Case study in an electro-mechanical system -- A generic fuzzy neuron and its application to motion estimation -- Fizzy-Fuzzy inferencing -- Multi-layer perceptron design using Delaunay triangulations -- A genetic algorithm for planning coal purchase of a real electric power plant -- “CAM-Brain? ATR's billion neuron artificial brain project a three year progress report.

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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