Neural Networks in a Softcomputing Framework
Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system; neural networks provide a model-free, adaptive, parallel-processing solution. Neural Networks in a Softcomputing Framework presents a thorough review of the mo...
Κύριοι συγγραφείς: | , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London,
2006.
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Fundamentals of Machine Learning and Softcomputing
- Multilayer Perceptrons
- Hopfield Networks and Boltzmann Machines
- Competitive Learning and Clustering
- Radial Basis Function Networks
- Principal Component Analysis Networks
- Fuzzy Logic and Neurofuzzy Systems
- Evolutionary Algorithms and Evolving Neural Networks
- Discussion and Outlook.