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
β¦ LIBER β¦
Optimization and neural network in new product development
β Scribed by C. Lin; C.N. Madu; C.-H. Kuei; J.-M. Yeh
- Publisher
- John Wiley and Sons
- Year
- 1995
- Tongue
- English
- Weight
- 591 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0969-6016
No coin nor oath required. For personal study only.
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