Hybrid technique for artificial neural network architecture and weight optimization

被引：0
|
作者：
Zanchettin, C [1 ]
Ludermir, TB [1 ]
机构：
[1] Univ Fed Pernambuco, Ctr Informat, BR-50732970 Recife, PE, Brazil
来源：
KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2005 | 2005年 / 3721卷
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：
This work presents a technique that integrates the heuristics tabu search, simulated annealing, genetic algorithms and backpropagation. This approach obtained promising results in the simultaneous optimization of the artificial neural network architecture and weights.
引用
收藏
页码：709 / 716
页数：8
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