一种提高稀疏编码联想记忆能力的动态方法

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks Pub Date : 1992-06-07 DOI:10.1109/IJCNN.1992.287169

Y.-P. Huang, D. Gustafson

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引用次数: 4

摘要

提出了一种基于动态阈值提高稀疏编码联想记忆存储容量的方法。在动态阈值方案下，稀疏编码方法比普通联想记忆具有更大的存储容量。结果还从存储灵敏度的角度进行了考虑。仿真结果与定量分析结果一致。结果表明，系统容量与所选择的阈值有很强的相关性。阈值的选择是基于每个接近其阈值假设的神经元。这使得仅使用信号部分和平均噪声即可找到更合理的存储容量成为可能。

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A dynamic approach to improve sparsely encoded associative memory capability

A method for improving sparsely encoded associative memory storage capacity based on dynamic thresholding is presented. Under the dynamic thresholding scheme, the sparsely encoding method is shown to have greater storage capacity than the ordinary associative memory. The results are also considered from the storage sensitivity point of view. Simulation results are consistent with the quantitative analysis. It is found that system capacity is strongly dependent on the selected threshold. Selection of threshold is based on each neuron working close to its threshold assumption. This makes it possible to find a more reasonable storage capacity by using signal part and mean noise only.<>

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[Proceedings 1992] IJCNN International Joint Conference on Neural Networks

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