In this paper, we focus on the convergence of a stochastic neural process. In this process, a "physiologically plausible" Hebb's learning rule gives rise to a self-organization phenomenon. Some preliminary results concern the asymptotic behaviour of the nework given that the update of neurons is eit
Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
β Scribed by Chih-Ming Chen; Yung-Feng Lu; Chin-Ming Hong
- Publisher
- Springer US
- Year
- 2006
- Tongue
- English
- Weight
- 261 KB
- Volume
- 23
- Category
- Article
- ISSN
- 1370-4621
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