The improvement of a fuzzy neural network based on back-propagation

被引：0
|
作者：
Hua, Q [1 ]
Ha, MH [1 ]
机构：
[1] Hebei Univ, Machine Learning Ctr, Baoding 071002, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
fuzzy neural networks; BP algorithm; fuzzy BP 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：
Some discussions on fuzzy neural network architecture and algorithm have been put forward, whose weights are given as special fuzzy numbers, such as triangular fuzzy numbers. In this paper, we introduce the conception of strong L-R type fuzzy number, and derive a learning algorithm based on BP algorithm via level sets of strong L-R type fuzzy numbers. The special fuzzy number is weakened to the common case Then the range of application is enlarged. Lastly, the initial experiment in fuzzy classification was showed.
引用
收藏
页码：2237 / 2239
页数：3
相关论文
共 50 条
  • [21] Voltage Control Based on a Back-Propagation Artificial Neural Network Algorithm
    Ramirez-Hernandez, Jazmin
    Juarez-Sandoval, Oswaldo-Ulises
    Hernandez-Gonzalez, Leobardo
    Hernandez-Ramirez, Abigail
    Olivares-Dominguez, Raul-Sebastian
    [J]. PROCEEDINGS OF THE XXII 2020 IEEE INTERNATIONAL AUTUMN MEETING ON POWER, ELECTRONICS AND COMPUTING (ROPEC 2020), VOL 4, 2020,
  • [22] Application of fuzzy adaptive back-propagation neural network in thermal conductivity gas analyzer
    Wang, Xian-Zhong
    Zhang, Tao
    He, Lei
    [J]. NEUROCOMPUTING, 2010, 73 (4-6) : 679 - 683
  • [23] An Investigation of Back-propagation Neural Network on University Selection
    Maharani, Sitti Syarah
    Yaakob, Razali
    Udzir, Nur Izura
    [J]. 2015 2ND INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATIONS, AND CONTROL TECHNOLOGY (I4CT), 2015,
  • [24] A Novel Learning Algorithm of Back-propagation Neural Network
    Gong, Bing
    [J]. 2009 IITA INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS ENGINEERING, PROCEEDINGS, 2009, : 411 - 414
  • [25] Autocorrelation modeling of lipophilicity with a back-propagation neural network
    Devillers, J
    Domine, D
    Guillon, C
    [J]. EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 1998, 33 (7-8) : 659 - 664
  • [26] A DIGITAL SNAKE IMPLEMENTATION OF THE BACK-PROPAGATION NEURAL NETWORK
    PIAZZA, F
    MARCHESI, M
    ORLANDI, G
    [J]. 1989 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-3, 1989, : 2185 - 2188
  • [27] A back-propagation neural network for recognizing fabric defects
    Kuo, CFJ
    Lee, CJ
    [J]. TEXTILE RESEARCH JOURNAL, 2003, 73 (02) : 147 - 151
  • [28] The Lithology Discrimination with Back-Propagation Neural Network Method
    Liu ShaoHua
    Duan XiaoQiu
    Wang ZhongHao
    Wu Dong
    [J]. PROCEEDINGS OF THE 2015 4TH INTERNATIONAL CONFERENCE ON SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, 2016, 43 : 555 - 558
  • [29] NEURAL CONTROLLER BASED ON BACK-PROPAGATION ALGORITHM
    SAERENS, M
    SOQUET, A
    [J]. IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING, 1991, 138 (01) : 55 - 62
  • [30] On State Prediction for Algae Growth in Seawater Based on Fuzzy Back-Propagation Network
    Zhang Ying
    Li Caijuan
    [J]. 2011 30TH CHINESE CONTROL CONFERENCE (CCC), 2011, : 1684 - 1687
12345