DocumentCode :
2489677
Title :
Determining the input time delay τ of a neural network for nonlinear time series prediction
Author :
Zhang, Sheng ; Liu, Hong-xing ; Gao, Dun-tang ; Wang, Wei
Author_Institution :
Dept. of Electron. Sci. & Eng., Nanjing Univ., China
Volume :
2
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
1255
Abstract :
Determining the input time delay τ of a feed-forward neural network (FNN) for nonlinear time series prediction is an aspect to be considered. Now there is a prevailing method to determine the input time delay τ of the neural network, which takes the τ as the optimal time delay τs in phase space reconstruction of the dynamic system. This paper presents a different idea that there is no direct relation between the input time delay τ of the neural network and the optimal time delay τs, in phase space reconstruction. Considering some other factors, the paper makes sure that taking the FNN input time delay τ as 1 is most reasonable. Some theoretic analyses and validation examples are given.
Keywords :
delays; feedforward neural nets; nonlinear dynamical systems; phase space methods; time series; feed-forward neural network; input time delay; nonlinear time series prediction; phase space reconstruction; Delay effects; Electronic mail; Feedforward neural networks; Feedforward systems; Neural networks; Nonlinear dynamical systems; Nonlinear equations; Nonlinear systems; Physics; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1259680
Filename :
1259680
Link To Document :
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