The Research of Classification based on Improved RBF Neural Network

被引：1
|
作者：
Wang Lin-shuang [1 ]
Zhou Li-juan [1 ]
Ge Xue-bin [1 ]
Shi Qian [1 ]
机构：
[1] Capital Normal Univ, Informat Engn Coll, Beijing, Peoples R China
来源：
ICCSSE 2009: PROCEEDINGS OF 2009 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION | 2009年
关键词：
RBF neural network; classification; Data Mining;
D O I：
10.1109/ICCSE.2009.5228157
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The approximation accuracy of RBF network constructed by the incremental learning algorithm to the target was not high. For function approximation or other requirements of high accuracy, such accuracy of RBF network model can not meet the requirements. We have improved this network model focused on three aspects to improve the bottleneck, and have an experiment and comparatively analyze these improvements algorithm on an UCI database, the experimental results show that the improved algorithm has better performances.
引用
收藏
页码：792 / 796
页数：5
相关论文
共 50 条
  • [1] Research on Port Customer Classification Based on RBF Neural Network
    Wang, Song
    Huang, Lei
    2015 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS), 2015,
  • [2] The Modeling Research of Wheat Classification Based on NIR and RBF Neural Network
    Zheng, Hui
    Sun, Laijun
    Hui, Guangyan
    Mao, Xiaodong
    Gao, Shang
    2013 3RD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), 2013, : 1122 - 1127
  • [3] Research on PMSM Sensorless Control Based on Improved RBF Neural Network Algorithm
    Jiao, Leiming
    Zhang, Pinjia
    Min, Rui
    Luo, Yanhong
    Yang, Dongsheng
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 2933 - 2938
  • [4] Algorithm Researching of RBF Neural Network Based on Improved PSO
    Chen Hua
    Fan Yi-ren
    Deng Shao-gui
    MATERIALS SCIENCE AND ENGINEERING, PTS 1-2, 2011, 179-180 : 233 - 238
  • [5] Duplicated Record Detection Based on Improved RBF Neural Network
    Liu, Xinting
    Cai, Xiaodong
    Li, Bo
    Chen, Mingyao
    2017 IEEE 2ND ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2017, : 2034 - 2037
  • [6] Target Threat Assessment Based on Improved RBF Neural Network
    Xu, Kehu
    Kong, Depeng
    Chen, Jinyu
    PROCEEDINGS OF THE 2015 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT INFORMATION PROCESSING, 2015, 336 : 559 - 566
  • [7] Research of computer network security evaluation based on RBF neural network
    Zhang, Yan-ling
    Xiong, Jian-liang
    PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY, 2016, 60 : 122 - 126
  • [8] Application of the probabilistic RBF neural network in multidimensional classification problems
    Plucinski, M
    ADVANCED COMPUTER SYSTEMS, PROCEEDINGS, 2002, 664 : 49 - 57
  • [9] Research of Machine Vision System Based on RBF Neural Network
    Ge Dongyuan
    Yao Xifan
    Chen Weixiong
    Zhang Qing
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, 2008, : 218 - 222
  • [10] Automatic classification of massive LAMOST spectra with RBF Neural Network
    Jiang Bin
    Wang Wenyu
    Qu Meixia
    Wang Wei
    Gao Jun
    2016 3RD INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE), 2016, : 244 - 247
12345