We apply the principle of adaptation to optimize the performance of neural networks with (i) noisy retrieval and (ii) disruptive dilution. ## I. Introduction Learning in neural networks can be described as a search procedure in the space of the adjustable synaptic weights. A performance function
โฆ LIBER โฆ
Cyclic dominance in adaptive networks
โ Scribed by G. Demirel; R. Prizak; P. N. Reddy; T. Gross
- Book ID
- 111623698
- Publisher
- Springer
- Year
- 2011
- Tongue
- English
- Weight
- 267 KB
- Volume
- 84
- Category
- Article
- ISSN
- 1434-6036
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