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
Adaptive optimization and control using neural networks
โ Scribed by W.C. Mead; S.K. Brown; R.D. Jones; P.S. Bowling; C.W. Barnes
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 550 KB
- Volume
- 352
- Category
- Article
- ISSN
- 0168-9002
No coin nor oath required. For personal study only.
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