Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics

Wavelet Neural Network Structure Optimization Method Based on Grey Relational-Sensitivity

Authors
Shiying Pan, Xiuqing Wang
Corresponding Author
Shiying Pan
Available Online June 2015.
DOI
https://doi.org/10.2991/icecee-15.2015.100How to use a DOI?
Keywords
Multivariate Time Series; Grey Relational-Sensitivity; Hidden Layer Node Number; Wavelet Neural Network
Abstract
In view of the wavelet neural network input number to determine the lack of theoretical guidance, the number of hidden layer nodes to determine the defects of difficult, put forward a kind of based on multivariate time series and grey relational - sensitivity of the wavelet neural network structure optimization method. This method firstly before the wavelet neural network learning, number of multivariate time series is used to determine the network's input, and then using grey relation in the process of learning - sensitivity pruning method to determine the neural network hidden layer node number, to achieve the goal of structural optimization. Through the model simulation results in the short-term wind power prediction, the results show that the method the optimized wavelet neural network to improve the wind power prediction accuracy and verified the effectiveness and feasibility of this structure optimization method, for the determination of wavelet neural network structure provides reference.
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Proceedings
2015 2nd International Conference on Electrical, Computer Engineering and Electronics
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-81-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/icecee-15.2015.100How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Shiying Pan
AU  - Xiuqing Wang
PY  - 2015/06
DA  - 2015/06
TI  - Wavelet Neural Network Structure Optimization Method Based on Grey Relational-Sensitivity
BT  - 2015 2nd International Conference on Electrical, Computer Engineering and Electronics
PB  - Atlantis Press
SP  - 484
EP  - 487
SN  - 2352-538X
UR  - https://doi.org/10.2991/icecee-15.2015.100
DO  - https://doi.org/10.2991/icecee-15.2015.100
ID  - Pan2015/06
ER  -