Training feedforward neural networks using neural networks and genetic algorithms

被引：0
|
作者：
Tellez, P [1 ]
Tang, Y [1 ]
机构：
[1] Univ Nacl Autonoma Mexico, Div Estudios Posgrad, Mexico City, DF, Mexico
来源：
INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL 1, PROCEEDINGS | 2004年
关键词：
neural networks; speech recognition; genetic algorithms; optimization; architecture design;
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：
This paper presents the recognition of speech commands for controling a robot. To train the neural network, we use the retropropagation algorithm, but to design the architecture of the network we use one GA to obtain the best performance. We look a multilayer network with the best result. As an application example, the proposed speech recognition approach is implemented in a robot experimentally: to illustrate the design and its merits.
引用
收藏
页码：308 / 311
页数：4
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