Synthesis of artificial neural networks by evolutionary methods

被引：0
|
作者：
Zelinka, Ivan [1 ]
Varacha, Pavel [1 ]
机构：
[1] Tomas Bata Univ Zlin, Dept Appl Informat, Nad Stranemi 4511, Zlin 76005, Czech Republic
来源：
DEXA 2007: 18TH INTERNATIONAL CONFERENCE ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/DEXA.2007.67
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work deals with a problem of synthesis of the artificial neural networks using the evolutional scanning method The basic task to be solved is to create a symbolic regression algorithm on principles of analytic programming, which will be capable of performing a convenient neural network synthesis. The main motivation here is the computerization of such synthesis and discovering so far unknown solutions.
引用
收藏
页码：153 / +
页数：2
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