• Media type: E-Book; Conference Proceedings
  • Title: Advances in fuzzy logic, neural networks and genetic algorithms : IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, August 9 - 10, 1994 ; selected papers
  • Contributor: Furuhashi, Takeshi [Other]
  • Event: World Wisepersons Workshop
  • Published: Berlin [u.a.]: Springer, 1995
    Online-Ausg., Berlin [u.a.]: Springer, 2006
  • Published in: Lecture notes in computer science ; 101100
  • Extent: Online-Ressource (VIII, 223 S.)
  • Language: English
  • DOI: 10.1007/3-540-60607-6
  • ISBN: 9783540484578
  • Identifier:
  • RVK notation: SS 4800 : Lecture notes in computer science
    ST 301 : Soft computing, Neuronale Netze, Fuzzy-Systeme
    ST 300 : Allgemeines
    ST 285 : Computer supported cooperative work (CSCW), Groupware
  • Keywords: Fuzzy-Logik
    Neuronales Netz
    Genetischer Algorithmus
  • Reproduction series: Springer Lecture Notes Archive
  • Type of reproduction: Online-Ausg.
  • Place of reproduction: Berlin [u.a.]: Springer, 2006
  • Origination:
  • Footnote: Literaturangaben
  • Description: 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.

    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.