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    一种基于稀疏分布记忆模型的汉字联想记忆方法

    A Method of Chinese Character Associative Memory Based on SDM Model

    • 摘要: 本文描述了Kanerva的稀疏分布记忆(SDM)模型,指出了它在用于汉字联想时的问题,同时提出了改进的模型。试验表明,这种改进模型使记忆容量和容错能力大大提高。

       

      Abstract: In this paper, Kancrva’s Sparse Distributed Memory (SDM) model is described and theproblems occurring in the application of chinese character association arc pointed out so that novelmodified SDM model is presented. Experiments have shown that memory capacity of proposed modelis larger and performance of fault-tolerance is improved.

       

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