Center selection for RBF neural network in prediction of nonlinear time series

被引：2
|
作者：
Lu, YH [1 ]
Wu, CG [1 ]
Liang, YC [1 ]
机构：
[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
来源：
2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年
关键词：
radial basis function; neural network; time series; orthogonal least square;
D O I：
10.1109/ICMLC.2003.1259702
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 new method for center selection of radial basis function (RBF) neural network. The proposed method endows a parallel quality on the process of center selection and takes advantage of the time sequential relation among time series data. Stock price prediction simulation shows that, compared with hard c-means (HCM) and orthogonal least square (OLS) RBF neural network, our method has not only better training and testing precisions, but also better generalization ability.
引用
收藏
页码：1355 / 1359
页数：5
相关论文
共 50 条
  • [31] Prediction of Rainfall Time Series Using Modular RBF Neural Network Model Coupled with SSA and PLS
    Wu, Jiansheng
    [J]. INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2012), PT II, 2012, 7197 : 509 - 518
  • [32] Heat load prediction for heat supply system based on RBF neural network and time series crossover
    Chen, Lie
    Zhang, Qiao-Ling
    Qi, Wei-Gui
    Li, Juan
    [J]. PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 784 - 788
  • [33] Neural network and time series identification and prediction
    Neji, Z
    Beji, FM
    [J]. IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL IV, 2000, : 461 - 466
  • [34] Neural network ensembles for time series prediction
    Ruta, Dymitr
    Gabrys, Bogdan
    [J]. 2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, 2007, : 1204 - 1209
  • [35] Optimal Control of Nonlinear system on the time series using RBF Network
    Fukuoka, Yoshihiro
    Arakawa, Masao
    [J]. 2013 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION (ICMA), 2013, : 1429 - 1434
  • [36] A novel three-phase algorithm for RBF neural network center selection
    Lee, DW
    Lee, J
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1, 2004, 3173 : 350 - 355
  • [37] Chaotic time series prediction of nonlinear systems based on various neural network models
    Sun, Ying
    Zhang, Luying
    Yao, Minghui
    [J]. CHAOS SOLITONS & FRACTALS, 2023, 175
  • [38] Nonlinear Autoregressive Neural Network and Extended Kalman Filters for Prediction of Financial Time Series
    Benrhmach, Ghassane
    Namir, Khalil
    Namir, Abdelwahed
    Bouyaghroumni, Jamal
    [J]. JOURNAL OF APPLIED MATHEMATICS, 2020, 2020
  • [39] A method for predicting nonlinear time series using RBF (Radial Base Function) neural network and its application
    Zhang, C.-B.
    Deng, Z.-L.
    [J]. 2001, Harbin Research Institute (16):
  • [40] Study on Route Travel Time Prediction Based on RBF Neural Network
    Zhu, Gengxian
    Wang, Xiuli
    [J]. PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL II, 2009, : 1118 - +
12345