A neural network model that recognizes sequential patterns without expanding them into spatial patterns is presented. This model forms trajectory attractors in the state space of a fully recurrent network by a simple learning algorithm using nonmonotonic dynamics. When a sequential pattern is input
Analysis of the dimensionality of neural networks for pattern recognition
β Scribed by Li-Min Fu
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 813 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0031-3203
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