We consider the convergence behavior of a class of continuous-time dynamical systems corresponding to so-called symmetric HopΓΏeld nets studied in neural networks theory. We prove that such systems may have transient times that are exponential in the system dimension (i.e. number of "neurons"), despi
β¦ LIBER β¦
Exponential weight algorithm in continuous time
β Scribed by Sylvain Sorin
- Publisher
- Springer-Verlag
- Year
- 2007
- Tongue
- English
- Weight
- 170 KB
- Volume
- 116
- Category
- Article
- ISSN
- 0025-5610
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