Network traffic prediction based on particle swarm BP neural network

被引：17
|
作者：
机构：
[1] College of Information Science and Engineering, Hebei University of Science and Technology
来源：
| 1600年 / Academy Publisher, P.O.Box 40,, OULU, 90571, Finland卷 / 08期
关键词：
Artificial bee colony; BP neural network; Network traffic prediction; Particle swarm optimization;
D O I：
10.4304/jnw.8.11.2685-2691
中图分类号：
学科分类号：
摘要：
The traditional BP neural network algorithm has some bugs such that it is easy to fall into local minimum and the slow convergence speed. Particle swarm optimization is an evolutionary computation technology based on swarm intelligence which can not guarantee global convergence. Artificial Bee Colony algorithm is a global optimum algorithm with many advantages such as simple, convenient and strong robust. In this paper, a new BP neural network based on Artificial Bee Colony algorithm and particle swarm optimization algorithm is proposed to optimize the weight and threshold value of BP neural network. After network traffic prediction experiment, we can conclude that optimized BP network traffic prediction based on PSO-ABC has high prediction accuracy and has stable prediction performance. © 2013 ACADEMY PUBLISHER.
引用
收藏
页码：2685 / 2691
页数：6
相关论文
共 50 条
  • [1] Network traffic prediction of the optimized BP neural network based on Glowworm Swarm Algorithm
    Li, Haitao
    SYSTEMS SCIENCE & CONTROL ENGINEERING, 2019, 7 (02) : 64 - 70
  • [2] Network Traffic Prediction Based on Particle Swarm Optimization
    Mo Nian-Fa
    2015 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA AND SMART CITY (ICITBS), 2016, : 531 - 534
  • [3] Adaptive Network Traffic Prediction Algorithm based on BP Neural Network
    Zhang, Ming
    Lu, Yanhong
    INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING, 2015, 8 (05): : 195 - 206
  • [4] Network Traffic Prediction Based on Improved BP Wavelet Neural Network
    Peng, Wang
    Yuan, Liu
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 4442 - 4446
  • [5] Prediction for network traffic of radial basis function neural network model based on improved particle swarm optimization algorithm
    Zhang, Weijie
    Wei, Dengfeng
    NEURAL COMPUTING & APPLICATIONS, 2018, 29 (04) : 1143 - 1152
  • [6] Design of BP Neural Network Urban Short-term Traffic Flow Prediction Software Based on Improved Particle Swarm Optimization
    Ma, Qiufang
    ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS III, 2019, 2073
  • [7] Prediction of Network Traffic of Smart Cities Based on DE-BP Neural Network
    Pan, Xiuqin
    Zhou, Wangsheng
    Lu, Yong
    Sun, Na
    IEEE ACCESS, 2019, 7 : 55807 - 55816
  • [8] Network traffic prediction algorithm research based on PSO-BP neural network
    Wei, Cheng
    Peng, Feng
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING, 2015, 121 : 1239 - 1243
  • [9] Prediction for network traffic of radial basis function neural network model based on improved particle swarm optimization algorithm
    Weijie Zhang
    Dengfeng Wei
    Neural Computing and Applications, 2018, 29 : 1143 - 1152
  • [10] BP NEURAL NETWORK IN CLASSIFICATION OF FABRIC DEFECT BASED ON PARTICLE SWARM OPTIMIZATION
    Liu, Su-Yi
    Zhang, Le-Duo
    Wang, Qian
    Liu, Jing-Jing
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1 AND 2, 2008, : 216 - 220
12345