Computational Intellingence : Principles, Techniques and Applications
The book Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of Computational Intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of Fuzzy Sets and Logic, Neural Networks, Evolutionary...
Guardat en:
| Autor principal: | |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational Intelligence, Texte imprimé, 9783540800798 • Computational intelligence, principles, techniques, and applications, Amit Konar, 1ère ed., Berlin, Springer, 2005, 1 vol. (xxiii, 708 p.), 3-540-20898-4 |
Taula de continguts:
- An Introduction to Computational Intelligence Fuzzy Sets and Relations Fuzzy Logic and Approximate Reasoning Fuzzy Logic in Process Control Fuzzy Pattern Recognition Fuzzy Databases and Possibilistic Reasoning to Machine Learning Using Neural Nets Supervised Neural Learning Algorithms Unsupervised Neural Learning Algorithms Competitive Learning Using Neural Nets Neuro-dynamic Programming by Reinforcement Learning Evolutionary Computing Algorithms Belief Calculus and Probabilistic Reasoning Reasoning in Expert Systems Using Fuzzy Petri Nets Fuzzy Models for Face Matching and Mood Detection Behavioral Synergism of Soft Computing Tools Object Recognition from Gray Images Using Fuzzy ADALINE Neurons Distributed Machine Learning Using Fuzzy Cognitive Maps Machine Learning Using Fuzzy Petri Nets Computational Intelligence in Tele-Communication Networks Computational Intelligence in Mobile Robotics Emerging Areas of Computational Intelligence Research Problems for Graduate Thesis and Pre-Ph D Preparatory Courses.