| Titre : |
Soft computing : integrating evolutionary, neural, and fuzzy systems |
| Type de document : |
texte imprimé |
| Auteurs : |
Andrea Tettamanzi, Auteur ; Marco Tomassini, Auteur |
| Editeur : |
Berlin ; London ; Cham : Springer |
| Année de publication : |
2001 |
| Importance : |
XIII-328 p. |
| Présentation : |
ill. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-3-540-42204-4 |
| Note générale : |
Bibliogr. [295]-321 p. Index |
| Langues : |
Français (fre) |
| Mots-clés : |
Automatique logique -- Flow
Neuro-fuzzy -- Systems
Epilogue |
| Index. décimale : |
681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique |
| Résumé : |
Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically.
This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as many real-world examples and case studies from various application fields. |
| Note de contenu : |
Sommair:
1. Evolutionary Algorithms
2. Artificial Neural Networks
3. Fuzzy Systems
4. Evolutionary Design of Artificial Neural Networks
5. Evolutionary Design of Fuzzy Systems
6. Neuro-fuzzy Systems
7. Fuzzy Evolutionary Algorithms
8. Natural Parallel (Soft) Computing
9. Epilogue |
Soft computing : integrating evolutionary, neural, and fuzzy systems [texte imprimé] / Andrea Tettamanzi, Auteur ; Marco Tomassini, Auteur . - Berlin ; London ; Cham : Springer, 2001 . - XIII-328 p. : ill. ; 24 cm. ISBN : 978-3-540-42204-4 Bibliogr. [295]-321 p. Index Langues : Français ( fre)
| Mots-clés : |
Automatique logique -- Flow
Neuro-fuzzy -- Systems
Epilogue |
| Index. décimale : |
681.51 Systemes de régulation automatique en général.caractéristiques techniques de la cybernétique |
| Résumé : |
Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically.
This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as many real-world examples and case studies from various application fields. |
| Note de contenu : |
Sommair:
1. Evolutionary Algorithms
2. Artificial Neural Networks
3. Fuzzy Systems
4. Evolutionary Design of Artificial Neural Networks
5. Evolutionary Design of Fuzzy Systems
6. Neuro-fuzzy Systems
7. Fuzzy Evolutionary Algorithms
8. Natural Parallel (Soft) Computing
9. Epilogue |
|  |
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