Neocognitron learning by backpropagation
β Scribed by Michihiro Ohno; Masato Okada; Kunihiko Fukushima
- Book ID
- 104591702
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 782 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0882-1666
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In several fields, as industrial modelling, multilayer feedforward neural networks are often used as universal function approximations. These supervised neural networks are commonly trained by a traditional backpropagation learning format, which minimises the mean squared error (mse) of the training
The main objective of this paper is to indicate how the learning process of a neural control system by backpropagation through time (BTT) is influenced by the structure of the control system, the dynamics of the plant and the parameters of the learning process. Since the analysis of a linear system