Non iterative Hopfield model

被引：2

作者：

Edgar A., Catalan Salgado ^{[1
]}

Yanez Marquez, Cornelio ^{[1
]}

机构：

[1] Natl Polytech Inst, Mexico City, DF, Mexico

来源：

CERMA2006: ELECTRONICS, ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE VOL 2, PROCEEDINGS | 2006年

关键词：

Hopfield; non iterative; associative memory; auto associative memory;

D O I：

10.1109/CERMA.2006.67

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Hopfield model has problems in the recall phase, one of them it's the time convergence or non convergence in certain cases. We propose a model that eliminates iteration in Hopfield model. This modification in the recall phase, eliminates the iterations and for consequence takes fewer steps, after them, the recuperation of N patterns learned it's the same or little better than Hopfield model. Finally because iteration is eliminated the recuperation time is reduced too.

引用

页码：137 / +

页数：3

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