Research on Prediction Model of Improved BP Neural Network Optimized by Genetic Algorithm

被引：0
|
作者：
Qi, Anzhi [1 ]
机构：
[1] Liaoning Jianzhu Vocat Coll, Liaoyang 111000, Peoples R China
来源：
PROCEEDINGS OF THE 2017 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTER (MACMC 2017) | 2017年 / 150卷
关键词：
Prediction model; Improved BP neural network; Genetic algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Artificial neural networks have been applied in many fields, and with the continuous improvement of neural networks and the combination of other new algorithms, the application fields of artificial neural networks have become wider and wider. In this paper, genetic algorithm is used to optimize the performance of BP neural network. The numerical simulation results show that the BP neural network optimized by genetic algorithm can effectively avoid the local minimum defect of the original BP neural network, and has the advantages of fast convergence speed and high accuracy.
引用
收藏
页码：764 / 767
页数：4
相关论文
共 50 条
  • [1] Irrigation Prediction Model with BP Neural Network Improved by Genetic Algorithm in Orchards
    Xie, Jiaxing
    Hu, Guosheng
    Lin, Chuting
    Gao, Peng
    Sun, Daozong
    Xue, Xiuyun
    Xu, Xin
    Liu, Jianmei
    Lu, Huazhong
    Wang, Weixing
    [J]. 2019 ELEVENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI 2019), 2019, : 108 - 112
  • [2] Insulator Contamination Prediction Model Based on BP Neural Network Optimized by Genetic Algorithm
    Hu Jinlei
    Su Chao
    Kuang Zhenxing
    Zhang Xiaobo
    Jiang Yunpeng
    [J]. 2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 3166 - 3172
  • [3] Prediction model of pellets quality based on BP neural network optimized by genetic algorithm
    Xu, Jianyou
    Wang, Wang Jianhui
    Yan, Hongwei
    Gu, Shusheng
    [J]. 2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 2852 - 2855
  • [4] Prediction of Mechanical Properties of Cotton Fibers by a BP Neural Network Model Optimized by Genetic Algorithm
    Wang, Junyang
    Zhang, Limin
    Liu, Xiang
    Zhang, Jinchan
    Wang, Wanxin
    Xu, Hong
    [J]. JOURNAL OF NATURAL FIBERS, 2024, 21 (01)
  • [5] A BP Neural Network Text Categorization Method Optimized by an Improved Genetic Algorithm
    Xia, Rongze
    Jia, Yati
    Li, Hu
    [J]. 2013 NINTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2013, : 257 - 261
  • [6] Prediction of Modulus of Composite Materials by BP Neural Network Optimized by Genetic Algorithm
    Wang, Zhuoxin
    Zhao, Haitao
    Xie, Yuehan
    Ren, Hantao
    Yuan, Mingqing
    Zhang, Boming
    Chen, Ji'an
    [J]. Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2022, 56 (10): : 1341 - 1348
  • [7] Prediction of Yak Weight Based on BP Neural Network Optimized by Genetic Algorithm
    He, Jie
    Zhang, Yu-an
    Li, Dan
    Chen, Zhanqi
    Song, Weifang
    Song, Rende
    [J]. ADVANCES IN NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, ICNC-FSKD 2022, 2023, 153 : 307 - 316
  • [8] Inventory Prediction Research Based on the Improved BP Neural Network Algorithm
    Pan, Fu-bin
    [J]. INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 2016, 9 (09): : 307 - 316
  • [9] Prediction Model of BP Neural Network Based on Improved Genetic Algorithm Optimization for Infectious Diseases
    Ma, Qiufang
    Xiao, Liqing
    [J]. 2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 4225 - 4229
  • [10] Improved BP Neural Network Algorithm Model Based on Chaos Genetic Algorithm
    Qi Changxing
    Bi Yiming
    Li Yong
    [J]. CONFERENCE PROCEEDINGS OF 2017 3RD IEEE INTERNATIONAL CONFERENCE ON CONTROL SCIENCE AND SYSTEMS ENGINEERING (ICCSSE), 2017, : 679 - 682
12345