Multilayer recurrent neural networks

被引：0
|
作者：
Kwan, HK [1 ]
机构：
[1] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada
来源：
2002 45TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III, CONFERENCE PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, multilayer recurrent neural networks in the form of 3-layer bidirectional symmetrical and asymmetrical associative memories are presented. The networks possess the, features of both, a, multilayer feedforward neural network and a bidirectional associative memory. These networks can have two modes of recalling, namely, recalling by one pattern and recalling, by a patterns pair. Simulation results on alpha numeral type of pattern. recognition performance under noisy conditions are given.
引用
收藏
页码：97 / 100
页数：4
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