Advances in fuzzy logic, neural networks and genetic algorithms : IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, August 9-10, 1994 : selected papers

著者

• IEEE/Nagoya-University World Wisepersons Workshop
• 古橋, 武 フルハシ, タケシ

書誌事項

Advances in fuzzy logic, neural networks and genetic algorithms : IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, August 9-10, 1994 : selected papers

Takeshi Furuhashi, (ed.)

（Lecture notes in computer science, 1011 . Lecture notes in artificial intelligence）

Springer, c1995

注記

Includes bibliographical references

内容説明・目次

内容説明

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.

目次

Fuzzy associative memory system and its application to multi-modal interface.- Hybrid connectionist fuzzy systems for speech recognition and the use of connectionist production systems.- Fuzzy gaussian potential neural networks using a functional reasoning.- Recurrent fuzzy logic using neural network.- Information aggregating networks based on extended Sugeno's fuzzy integral.- A neuro-fuzzy architecture for high performance classification.- Investigation of stability and robustness of a fuzzy traction control system.- Knowledge-based rules for control of the sake (Ginjoshu) making process and their application in fuzzy control.- A framework for studying the effects of dynamic crossover, mutation, and population sizing in genetic algorithms.- Unsupervised/supervised learning for RBF-fuzzy system.- Genetic algorithms for the development of fuzzy controllers for mobile robots.- A new approach to genetic based machine learning and an efficient finding of fuzzy rules.- A neuro-money recognition using optimized masks by GA.- Genetic-fuzzy systems for financial decision making.

「Nielsen BookData」 より

• NII書誌ID(NCID): BA26609511
• ISBN:
  • 3540606076
• LCCN: 95045670
• 出版国コード: gw
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Berlin ; New York ; Tokyo
• ページ数/冊数: viii, 223 p.
• 大きさ: 24 cm
• 分類:
  • NDC9 : 548.2
  • LCC : QA76.87
  • DC20 : 006.3
• 件名:
  • LCSH : Neural networks (Computer science)
  • LCSH : Fuzzy systems
  • LCSH : Genetic algorithms
• 親書誌ID:
  • BA00009279