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Application of GA-BP Neural Network in MMS Index Prediction

  • Wang Huaibin
  • Wang Li
  • Wang Chundong
  • Zhou Haiyun
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 146)

Abstract

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.

Keywords

Genetic Algorithm Back Propagation Neural Network MMS Index Prediction 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Wang Huaibin
    • 1
  • Wang Li
    • 1
  • Wang Chundong
    • 1
  • Zhou Haiyun
    • 1
  1. 1.Key Laboratory of Computer Vision and SystemTianjin University of Technology, Ministry of EducationTianjinChina

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