Advances in fuzzy logic, neural networks, and genetic algorithms : IEEE/Nagoya-University World Wisepersons Workshop Nagoya, Japan, August 9-10, 1994 : selected papers
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 algorith...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Loạt: | Lecture notes in computer science. Lecture notes in artificial intelligence
1011 |
| Những chủ đề: | |
| Truy cập trực tuyến: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Chú thích: |
Actes d'un séminaire tenu à Nagoya du 9 au 10 août 1994, d'après l écran-titre Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • 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.), Berlin, Springer, 1995, 1 vol. (VIII-223 p.), Lecture notes in computer science, 3-540-60607-6 • Advances in Fuzzy Logic, Neural Networks and Genetic Algorithms, Texte imprimé, 9783662191712 |
Mục lục:
- 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.