Artificial neural networks : an introduction to ANN theory and practice
This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical data...
Wedi'i Gadw mewn:
| Prif Awdur: | |
|---|---|
| Awduron Eraill: | , |
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Cyfres: | Lecture notes in computer science
931 |
| Pynciau: | |
| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nodyn: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Artificial neural networks, an introduction to ANN theory and practice, P.J. Braspenning, F. Thuijsman, A.J.M.M. Weijters (eds.), Berlin, Springer, 1995, 1 vol. (VII-293 p.), Lecture notes in computer science, 3-540-59488-4 • Artificial Neural Networks, Texte imprimé, 9783662198438 |
Tabl Cynhwysion:
- Introduction: Neural networks as associative devices
- Backpropagation networks for Grapheme-Phoneme conversion: A non-technical introduction
- Back Propagation
- Perceptrons
- Kohonen network
- Adaptive Resonance Theory
- Boltzmann Machines
- Representation issues in Boltzmann machines
- Optimisation networks
- Local search in combinatorial optimization
- Process identification and control
- Learning controllers using neural networks
- Key issues for successful industrial neural-network applications: An application in geology
- Neural cognodynamics
- Choosing and using a neural net.