Secondly, the complexity of fully-connected kernel auto-associative memory models is reduced.
对全互连的核自联想记忆模型框架进行了稀疏化改造。
On the basis of aforesaid work, the author further proposes robust face recognition algorithms based on sparse kernel auto - associative memory models.
在上述工作的基础上，本文主要研究了基于小世界体系的指数核自联想记忆模型在人脸识别中的应用。
Fuzzy inference network (FIN) and fuzzy associative memory network (FAM) are two most important FNN models.
模糊推理网络(FIN)和模糊联想记忆网络(FAM)是两种最重要的FNN模型。
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