Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms [[electronic resource] ] : IEEE/Nagoya-University World Wisepersons Workshop, Nagoya, Japan, August 9 - 10, 1994. Selected Papers / / edited by Takeshi Furuhashi

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1995
• Edizione: 1st ed. 1995.
• Descrizione fisica: 1 online resource (VIII, 232 p.)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Artificial Intelligence
• Persona (resp. second.): FuruhashiTakeshi
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms
• ISBN: 3-540-48457-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996465763503316
• Lo trovi qui: Univ. di Salerno
• Serie: Lecture Notes in Artificial Intelligence ; ; 1011