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
收藏
页码：253 / 259
页数：7
相关论文
共 50 条
  • [41] Application of BP neural network in prediction of compression index of soil
    Jiang, Jian-Ping
    Zhang, Yang-Song
    Yan, Chang-Hong
    Gao, Guang-Yun
    Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology), 2010, 41 (02): : 722 - 727
  • [42] Building Carbon Emission Scenario Prediction Using STIRPAT and GA-BP Neural Network Model
    Zhang, Sensen
    Huo, Zhenggang
    Zhai, Chencheng
    SUSTAINABILITY, 2022, 14 (15)
  • [43] Prediction on lower flammability limit temperature of organic compounds based on GA-BP neural network
    Du, Jianke
    Huagong Xuebao/CIESC Journal, 2010, 61 (12): : 3067 - 3071
  • [44] Research on the Prediction Model for Abrasive Water Jet Cutting Based on GA-BP Neural Network
    Deng, Songsheng
    Guo, Lianhuan
    Guan, Jinfa
    Guo, Guangdong
    Yang, Xin
    3RD INTERNATIONAL CONFERENCE ON APPLIED ENGINEERING, 2016, 51 : 1297 - 1302
  • [45] Prediction of Industrial Electric Energy Consumption in Anhui Province Based on GA-BP Neural Network
    Zhang, Jiajing
    Yin, Guodong
    Ni, Youcong
    Chen, Jinlan
    2017 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND MATERIAL APPLICATION (ESMA2017), VOLS 1-4, 2018, 108
  • [46] Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network
    Zhang, Yifei
    Zhang, Gengxin
    Wu, Dawei
    Wang, Qian
    Nadimi, Ebrahim
    Shi, Penghua
    Xu, Hongming
    ENERGY AND AI, 2024, 18
  • [47] Compressive Strength Prediction and Mix Proportion Design of UHPC Based on GA-BP Neural Network
    Chen Q.
    Ma R.
    Jiang Z.
    Wang H.
    Jianzhu Cailiao Xuebao/Journal of Building Materials, 2020, 23 (01): : 176 - 183and191
  • [48] Prediction of settlement of soft soil subgrade during operation based on GA-BP neural network
    Ding J.
    Wei X.
    Gao P.
    Hu J.
    Chen W.
    Jiao N.
    Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2023, 53 (04): : 585 - 591
  • [49] Research on Failure Pressure Prediction of Water Supply Pipe Based on GA-BP Neural Network
    Li, Qingfu
    Li, Zeyi
    WATER, 2024, 16 (18)
  • [50] Research on Virtual Machine Response Time Prediction Method Based on GA-BP Neural Network
    Guo, Jun
    Liu, Shu
    Zhang, Bin
    Yan, Yongming
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
12345