发明名称 |
System and method for designing fixed weight analog neural networks |
摘要 |
A system and method for designing a fixed weight analog neural network to perform analog signal processing allows the neural network to be designed with off-line training and implemented with low precision components. A global system error is iteratively computed in accordance with initialized neural functions and weights corresponding to a desired analog neural network configuration for analog signal processing. The neural weights are selectively modified during training and then expected values of weight implementation errors are added thereto. The error adjusted neural weights are used to recompute the global system error and the result thereof is compared to a desired global system error. These steps are repeated as long as the recomputed global system error is greater than the desired global system error. Following that, MOSFET parameters representing MOSFET channel widths and lengths are computed which correspond to the neural functions and weights. Such MOSFET device parameters are then used to implement the desired analog neural network configuration.
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申请公布号 |
US5717833(A) |
申请公布日期 |
1998.02.10 |
申请号 |
US19960676443 |
申请日期 |
1996.07.05 |
申请人 |
NATIONAL SEMICONDUCTOR CORPORATION |
发明人 |
NEELY, WILLIAM SHIELDS |
分类号 |
G06N3/063;(IPC1-7):G06F15/18 |
主分类号 |
G06N3/063 |
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