Pattern recognition using neural networks theory and algorithms for engineers and scientists
The more efficient fullpropagation, quickpropagation, cascade correlation, and various methods such as strategic search, conjugate gradients, and genetic algorithms are described. Advanced methods are also described, including the full training algorithms for radial basis function networks and rando...
Сохранить в:
| Главный автор: | |
|---|---|
| Язык: | Undetermined English |
| Опубликовано: |
New York
Oxford University Press
1997
|
| Предметы: | |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Trà Vinh |
|---|