A Modified Grey Neural Network GNNM(1,1) Model Based on Momentun and Its Application

被引：0

作者：

Shen Yan ^{[1
]}

Bao Jie ^{[1
]}

Sun Hongying ^{[1
]}

机构：

[1] Harbin Engn Univ, Coll Sci, Harbin, Peoples R China

来源：

2012 THIRD GLOBAL CONGRESS ON INTELLIGENT SYSTEMS (GCIS 2012) | 2012年

关键词：

gray system; neural network; quadratic momentum; fault forecast;

D O I：

10.1109/GCIS.2012.22

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To solve the fault forecast problem caused by small samples, a model based on grey neural network GNNM(1,1) is presented. The quadratic momentum is introduced on the base of GNNM(1,1) model and the convergence of the model is proved. The experiment results show that the GNNM(1,1) model based on quadratic momentum has a better prediction results than traditional GNNM(1,1) model.

引用

页码：405 / 408

页数：4

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