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Optimization techniques /
"Optimization Techniques" is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage to a unified view of optimal learning, orthogonal transformation techniques, sequ...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
San Diego :
Academic Press,
1998.
|
| Colección: | Neural network systems, techniques, and applications ;
v. 2. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Optimal learning in artificial neural networks : a theoretical view / Monica Bianchini [and others]
- Orthogonal transformation techniques in the optimization of feedforward neural network systems / Partha Pratim Kanjilal
- Sequential constructive techniques / Marco Muselli
- Fast backpropagation training using optimal learning rate and momentum / Xiao-Hu Yu, Li-Qun Xu, and Yong Wang
- Learning of nonstationary processes / V. Ruiz de Angulo and Carme Torras
- Constraint satisfaction problems / Hans Nikolaus Schaller
- Dominant neuron techniques / Jar-Ferr Yang and Chi-Ming Chen
- CMAC-based techniques for adaptive learning control / Chun-Shin Lin, Ching-Tsan Chiang, and Hyongsuk Kim
- Information dynamics and neural techniques for data analysis / Gustavo Deco
- Radial basis function network approximation and learning in task-dependent feedforward control of nonlinear dynamical systems / Dimitry Gorinevsky.