设计了一种可控容错域的自联想记忆模型。
A kind of self associative memory model about controllable tolerant fault field is designed.
本文提出了一种异联想记忆模型的优化学习算法。
This paper presents an optimized learning strategy for a bidirectional associative memory.
对全互连的核自联想记忆模型框架进行了稀疏化改造。
Secondly, the complexity of fully-connected kernel auto-associative memory models is reduced.
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