Associative-memory model based on neural networks: modification of Hopfield model
โ Scribed by Oh, Sang-Hoon; Yoon, Tae-Hoon; Kim, Jae Chang
- Book ID
- 115416884
- Publisher
- Optical Society of America
- Year
- 1988
- Tongue
- English
- Weight
- 288 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0146-9592
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## Abstract In the associate memory model based on the Hopfield neural network, the memorized pattern must satisfy a certain kind of orthogonal condition. However, in general, it is very difficult to satisfy this condition, which has been a great drawback in the application of the associative memor
Neural networks have proved to be useful models of associative memories. After a brief review of the standard Hopfield model we discuss how to introduce some realistic features such as categorization of the stored information and asymmetric synapsis.