RAM-based neural networks are designed to be efficiently implemented in hardware. The desire to retain this property influences the training algorithms used, and has led to the use of reinforcement (reward-penalty) learning. An analysis of the reinforcement algorithm applied to RAM-based nodes has s
โฆ LIBER โฆ
Neural network learning based on stochastic sensitivity analysis
โ Scribed by Koda, M.
- Book ID
- 117874274
- Publisher
- IEEE
- Year
- 1997
- Tongue
- English
- Weight
- 135 KB
- Volume
- 27
- Category
- Article
- ISSN
- 1083-4419
No coin nor oath required. For personal study only.
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