Using mutual information index for inputs selection in feedforward neural network

被引：0
|
作者：
Fei, Yunjie [1 ]
Deng, Wei [1 ]
Su, Meijuan [1 ]
机构：
[1] Soochow Univ, Dept Comp Sci & Technol, Suzhou 215006, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2007年 / 14卷
关键词：
feedforward neural network; mutual information index; pruning; inputs selection;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper investigates the application of the mutual information index (MII) to obtain an informative subset of the input attributes. Because the mutual information index produces a measure of the information about one variable in terms of another variable, it is suitable for assessing the information content of input attributes. An algorithm of input attributes selection is presented, which is based on MII and the greedy selection method. The proposed algorithm is applied in several examples, and the results confirm its effectiveness.
引用
收藏
页码：207 / 209
页数：3
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