环结构神经网络及其互联想性能
LOOP ARCHITECTURE NEURAL NETWORK
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摘要: 本文提出了一种称为环结构神经网络(LANN)模型及其学习算法。它能像Hopfield网络,双向联想记忆(BAM)网络和其它类似网络一样工作,特别是它能执行多类样本之间的互联想记忆。理论分析和计算机模拟都证明LANN具有很好的收敛性,是一种有效的网络结构。最后本文给出了计算机模拟结果。
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关键词:
- 神经网络; 环结构; 学习算法; 模拟
Abstract: This paper provides a new architecture of neural network, called Loop Architecture Neural Network (LANN), and its learning rules. One of its distinguished features from other network, such as Hopfield and bidirectional assiociative memories, is that it can perform the associative memory among multiple categories. Analysis and simulated results have proved that it is an effective network with excellent convergence. -
Farhat N H, Psaltis P. Prata A, et al[J].Applied Optics.1985, 24(10):1469-1475[2]Hopfield J J.[3]Neurons with graded response have collective computational properities like those of two states neurons. Proceedings of the National Academy of Sciences, USA; 31, May,1984. 3088-3092.[4]Anderson J A. IEEE Trans. on Systems, Man, and Cybernetics, 1983, SMC-13(5): 799-815.[5]Kosko B. Applied Optics, 1981, 26(23): 4974-4979. -
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