Data-Based State Forecast via Multivariate Grey RBF Neural Network Model

被引：0
|
作者：
Guo, Yejun [1 ]
Kang, Qi [1 ]
Wang, Lei [1 ]
Wu, Qidi [1 ]
机构：
[1] Tongji Univ, Dept Control Sci & Engn, Shanghai 201804, Peoples R China
来源：
ADVANCES IN SWARM INTELLIGENCE, PT1 | 2014年 / 8794卷
关键词：
State Forecast; Multivariate Grey Model; Neural Network; RBF; TIME-SERIES; OPTIMIZATION; OUTPUT;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a multivariable grey neural network (MGM-NN) model for predicting the state of industrial equipments. It combines the merit of MGM model and RBF-NN model on time series forecast. This mode takes the dynamic correlations among multi variables and environment's impact on state of equipment into consideration. The proposed approach is applied to the melt channel state forecast. The results are contrasted to MGM model executed on the same test set. The results show the accuracy and promising application of the proposed model.
引用
收藏
页码：294 / 301
页数：8
相关论文
共 50 条
  • [1] Forecast of port freight volume based on grey RBF neural network combination model
    Jiao, Yang
    Li, Lianbo
    Zhu, Zhenyu
    Wu, Wenhao
    [J]. SIXTH INTERNATIONAL CONFERENCE ON ELECTROMECHANICAL CONTROL TECHNOLOGY AND TRANSPORTATION (ICECTT 2021), 2022, 12081
  • [2] Device Status Forecast Model Based on RBF Neural Network
    Chen, Shuqiao
    [J]. 2010 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS 1-3, 2010, : 1342 - 1345
  • [3] A forecast model based on RBF neural network for local financial revenue
    Huang, J.
    Yong, S. L.
    Xiong, Q. Y.
    Chen, J.
    [J]. DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 4022 - 4025
  • [4] FORECAST OF LOGISTICS DEMAND BASED ON GREY DEEP NEURAL NETWORK MODEL
    Yuan, Wen-Jing
    Chen, Jian-Hua
    Cao, Jing-Jing
    Jin, Ze-Yi
    [J]. PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL 1, 2018, : 251 - 256
  • [5] Grey forecast model for torpedo development cost based on neural network
    Liang, Qingwei
    Zhao, Minquan
    Wang, Mengni
    [J]. INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2017, 46 (08) : 1621 - 1626
  • [6] Stock Market Forecast Based on RBF Neural Network
    Ji, Teng
    Che, Wengang
    Zong, Nana
    [J]. PRACTICAL APPLICATIONS OF INTELLIGENT SYSTEMS, ISKE 2013, 2014, 279 : 955 - 962
  • [7] Regional logistics demand forecast based on RBF artificial neural network model
    Hou, R
    Wang, W
    Xi, B
    [J]. PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS I AND II, 2003, : 386 - 390
  • [8] Water level prediction based on Improved Grey RBF neural network model
    Zhang, Jian
    Lou, Yuansheng
    [J]. PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, : 775 - 779
  • [9] THE FORECAST FOR CORROSION OF REINFORCING STEEL BASED ON RBF NEURAL NETWORK
    Liu, Yan
    Zhao, Sheng-Li
    Yi, Cheng
    [J]. PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, 2009, : 195 - +
  • [10] The Forecast of Carbonation Depth of Concrete Based on RBF Neural Network
    Liu, Yan
    Zhao, Shengli
    Yi, Cheng
    [J]. 2008 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL III, PROCEEDINGS, 2008, : 544 - +
12345