Paper Title:
Nonlinear Time Series Prediction Using High Precision Neural Network
  Abstract

A new type of high precision back propagation (BP) neural network model was proposed and applied to nonlinear time series for improving its prediction accuracy. In order to optimize the neural network structure, it uses the correlation analysis to select the number of input node for BP neural network at first. Second, it uses grey clustering method to select the initial number of hidden node for BP neural network, then using the grey correlation analysis method to analyze the correlation degree between hidden node output and network output and according to the size of correlation degree to delete the redundant hidden nodes. Meanwhile, in order to improve model prediction accuracy, it increases the direct connection between the input layer and output layer. Finally, prediction results show that the proposed model has good prediction capability.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
745-748
DOI
10.4028/www.scientific.net/AMM.48-49.745
Citation
J. H. Zhou, X. F. Peng, L. S. Liu, "Nonlinear Time Series Prediction Using High Precision Neural Network", Applied Mechanics and Materials, Vols. 48-49, pp. 745-748, 2011
Online since
February 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yan Feng Fang, Li Yan Chen, Hua Xi Gao
Abstract:In this paper, the influence of correlation of variables on structural reliability is discussed. Using importance, condition and duality...
245
Authors: Ming Ying Luo
Abstract:This paper presents a candidate set in the case does not produce only scan through a database to extract the top-k strongly correlated item...
1103
Authors: Mao Jiang, Ling Zhou, Ying Tao Li, Hai Qing Zhou, Jun Shao
Chapter 3: Civil Engineering
Abstract:In order to explore the effective damage identification method for structure, the structural vibration signal is directly correlation...
1342
Authors: Yu Zhuo Men, Hai Bo Yu, Xin Pan
Chapter 5: Intelligent Production
Abstract:In order to study the main influence factors on urban traffic accident, the grey correlation system macroscopic prediction method was...
531
Authors: Zong Tao Li, Yu Guo, Heng Ye
Chapter 4: Data Acquisition, Data Mining and Data Processing
Abstract:Results of autocorrelation analysis algorithm by the LabVIEW are different from the theoretical results. To address the problem, a...
1125