光学学报, 1993, 13 (1): 56, 网络出版: 2007-12-07
正补态光学神经网络模型性能评估
Evaluation of Positive-Complemental optical neural network model
摘要
本文对一种多值光学神经网络模型——正补态模型的性能,存贮容量、容错性及收敛性进行了评估,并在N=16的网络上进行了计算机模拟.结果表明,正补态模型的性能比其它光学神经网络模型有所改善.
Abstract
In this paper, the performances of an optical multivalue neural network named Positive-Complemental Model (PCM) are evaluated, which includes storage capacity, tolerance and convergency. The results obtained by computer simulation in the network (N = 16) show that the performances of the optical neural network with PCM are improved.
朱伟利, 陈岩松, 李德华. 正补态光学神经网络模型性能评估[J]. 光学学报, 1993, 13(1): 56. 朱伟利, 陈岩松, 李德华. Evaluation of Positive-Complemental optical neural network model[J]. Acta Optica Sinica, 1993, 13(1): 56.
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