A parallel MLPN model with EKF-based on-line learning algorithm

被引：0
|
作者：
Chang, TK [1 ]
Yu, DL [1 ]
Williams, D [1 ]
机构：
[1] Liverpool John Moores Univ, Control Syst Res Grp, Liverpool L3 5UX, Merseyside, England
来源：
CONTROL APPLICATIONS IN MARINE SYSTEMS 2001 (CAMS 2001) | 2002年
关键词：
Learning algorithm; Extended Kalman-filters; process identification; neural networks; time-varying systems;
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：
A parallel multi-layer perceptron network (MLPN) model with on-line learning algorithm is proposed. This parallel MLPN is on-line trained directly in a parallel form. The on-line learning algorithm is based on the Extended Kalman Filter (EKF) algorithm. This parallel MLPN is able to learn the non-linear dynamic behaviour of unknown time-varying systems. The proposed parallel MLPN can be used to model the non-linear systems and perform multi-step-ahead prediction for control purpose. The performance of this model is demonstrated in modelling a multi-variable non-linear continuous stirred tank reactor (CSTR). Copyright 2001 (C) IFAC.
引用
收藏
页码：499 / 504
页数：6
相关论文
共 50 条
  • [31] On-line fault diagnosis of rolling bearing based on machine learning algorithm
    Sun, Jinmeng
    Yu, Zhongqing
    Wang, Haiya
    [J]. 2020 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, COMPUTER TECHNOLOGY AND TRANSPORTATION (ISCTT 2020), 2020, : 402 - 407
  • [32] An intelligent adaptive filtering agent based on an on-line learning model
    Lam, W
    Yu, KL
    [J]. SIGIR'99: PROCEEDINGS OF 22ND INTERNATIONAL CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 1999, : 287 - 288
  • [33] On-line learning with malicious noise and the closure algorithm
    Auer, P
    Cesa-Bianchi, N
    [J]. ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 1998, 23 (1-2) : 83 - 99
  • [34] An On-line Learning Algorithm for Complex Fuzzy Logic
    Aghakhani, Sara
    Dick, Scott
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010), 2010,
  • [35] On-line learning with malicious noise and the closure algorithm
    Peter Auer
    Nicolò Cesa-Bianchi
    [J]. Annals of Mathematics and Artificial Intelligence, 1998, 23 : 83 - 99
  • [36] Parameter estimation of ventricular myocardial cell model using an on-line learning algorithm
    Takahashi, Naoyuki
    Doi, Shinji
    Kumagai, Sadatoshi
    [J]. 2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, 2006, : 5234 - +
  • [37] Improvement and Parallel Implementation of EKF Battery Algorithm Based on the Spark Streaming
    Qi, Zitong
    Yang, Zhengqiu
    Liu, Chen
    Xiu, Jiapeng
    [J]. PROCEEDINGS OF 2018 5TH IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS (CCIS), 2018, : 824 - 829
  • [38] The Algorithm of On-line Handwritten Signature Verification Based on Hide Markov Model
    Luan Fang-jun
    Lin Lan
    Cheng Hai
    [J]. PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 2692 - 2696
  • [39] An improved on-line sequential learning algorithm for extreme learning machine
    Li, Bin
    Wang, Jingming
    Li, Yibin
    Song, Yong
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 1, PROCEEDINGS, 2007, 4491 : 1087 - +
  • [40] Application of Learning Trajectory Preference Algorithm Based on On-Line Iterative Feedback in Robots
    Liu, Shunan
    Wang, Xiaoli
    Huang, Haidong
    [J]. CYBER SECURITY INTELLIGENCE AND ANALYTICS, 2020, 928 : 505 - 512
12345