Application of GA-BP Neural Network in MMS Index Prediction

被引：0

作者：

Wang Huaibin ^{[1
]}

Wang Li ^{[1
]}

Wang Chundong ^{[1
]}

Zhou Haiyun ^{[1
]}

机构：

[1] Tianjin Univ Technol, Key Lab Comp Vis & Syst, Minist Educ, Tianjin 300384, Peoples R China

来源：

EMERGING COMPUTATION AND INFORMATION TECHNOLOGIES FOR EDUCATION | 2012年 / 146卷

关键词：

Genetic Algorithm; Back Propagation Neural Network; MMS Index Prediction;

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：

MMS (Multimedia Messaging Service) index prediction plays an important role to the development of MMS business. Currently, MMS index prediction model based on back propagation (BP) neural network easily falls into local minimum because of the randomness of weights selection. So the genetic algorithm which is good at global search optimizes weights of BP neural network. Firstly, the genetic algorithm searches weights in the global scope and then BP algorithm further optimizes weights. Finally, the optimized algorithm achieves better prediction accuracy.

引用

页码：253 / 259

页数：7

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