Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

Research of Prediction Scheme Based on Adaptive Particle Swarm Wavelet Neural Network Model

Authors
Fuxing Yang, Qi Zhang, Ning Li, Zhongliang Deng
Corresponding Author
Fuxing Yang
Available Online November 2016.
DOI
10.2991/aiie-16.2016.50How to use a DOI?
Keywords
intelligent transportation system; traffic flow prediction; adaptive; variation; neural network; particle swarm optimization
Abstract

Traffic flow prediction have the characteristics of complexity, non-linearity and randomness. Researchers are resorting to hybrid neural networks fusing more effective algorithms into forecast process. This paper advances a fresh algorithm with both the thought of variation and adaptive to conquer the poor global optimization capability and slow convergent rate of traditional back propagation neural network (BPNN). Mathematically, this algorithm constructs an adjustable formula to generate acceleration factors based on a logistic curve equation. Variable random initialization strategy has been introduced simultaneously. Simulations reveal that in contrast to auto-regressive integrated moving average model (ARIMA), back propagation neural network and wavelet neural network (WNN), the mean relative error reduced from about 10% to nearly 5%, the running time dropped from 5 seconds above to 2.5 seconds below, and the quality of the traffic flow prediction has a great improvement, which verifies the superiority of the brand new method proposed in this paper.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-271-8
ISSN
1951-6851
DOI
10.2991/aiie-16.2016.50How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fuxing Yang
AU  - Qi Zhang
AU  - Ning Li
AU  - Zhongliang Deng
PY  - 2016/11
DA  - 2016/11
TI  - Research of Prediction Scheme Based on Adaptive Particle Swarm Wavelet Neural Network Model
BT  - Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)
PB  - Atlantis Press
SP  - 214
EP  - 218
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-16.2016.50
DO  - 10.2991/aiie-16.2016.50
ID  - Yang2016/11
ER  -