对称神经网络的时间关联

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks Pub Date : 1991-11-18 DOI:10.1109/IJCNN.1991.170711

A. Hiroike, T. Omori

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引用次数: 1

摘要

研究了具有对称全连接的随机神经网络模型的时间关联问题。由于自由能的存在，对称系统可以进行分析。模型的性质用临界态间转变温度来解析描述。分析结果与蒙特卡罗模拟结果一致。

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Temporal association in symmetric neural networks

The authors study temporal association in a stochastic neural network model with symmetric full-connections. A symmetric system is accessible to analysis because of the existence of free-energy. The properties of the model are analytically described by critical temperature of transition between states. The result of the analysis is consistent with Monte Carlo simulations.<>

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来源期刊

[Proceedings] 1991 IEEE International Joint Conference on Neural Networks

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