Neural Networks in a Softcomputing Framwork
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 mos...
Sábháilte in:
| Príomhchruthaitheoirí: | , , |
|---|---|
| Formáid: | Livre numérique |
| Teanga: | Anglais |
| Foilsithe / Cruthaithe: |
London :
Springer : Springer e-books
[20..].
Cham : Springer Nature |
| Ábhair: | |
| Rochtain ar líne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nóta: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Neural networks in a softcomputing framework, K.-L. Du and M.N.S. Swamy, London, Springer, 2006, 1 vol. (L-566 p.), 1-84628-302-7 |
Clár na nÁbhar:
- 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