Graph isomorphisms effect structure optimization of neural networks

被引：1
|
作者：
Igel, C [1 ]
Stagge, P [1 ]
机构：
[1] Ruhr Univ Bochum, Inst Neuroinformat, D-44780 Bochum, Germany
来源：
PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年
关键词：
D O I：
10.1109/IJCNN.2002.1005459
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Concepts from graph theory and molecular evolution are proposed for analyzing effects of redundancy induced by graph isomorphisms on structure optimization of neural networks. It is demonstrated that a graph database that considers isomorphisms can drastically reduce the number of evaluations in an evolutionary structure optimization process.
引用
收藏
页码：142 / 147
页数：4
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