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。
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.
出处
《计算机研究与发展》
EI
CSCD
北大核心
1994年第4期61-65,共5页
Journal of Computer Research and Development
关键词
稀疏分布记忆
联想记忆
神经网络
sparse distributed memory
associative memory
neural network.
