一种基于浑沌理论的联想记忆神经网络模型
ONE KIND OF ASSOCIATIVE MEMORY BY NEURAL NETWORK MODEL BASED ON THE CHAOS THEORY
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摘要: 根据联想记忆神经网络的基本原理,提出了一种基于浑沌理论的联想记忆神经网络模型及相应的求解方案,并对该种模型进行了预报试验。结果表明,该种模型的历史预报准确率和实际预报准确率均超过一般随机预报,值得进一步研究和应用。Abstract: In this paper,according to the principle of associative memory by neural network,we obtained a kind of model of associative memory by neural network based on the chaos theory and corresponding deriving method,and the model was tested by forecasting.The results indicated that this model had good predicting characters.
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Key words:
- Chaos /
- Neural network /
- Associative memory /
- Model
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