Prediction of Short-Term Transportation Flow Based on Optimizing Wavelet Neural Network by Genetic Algorithm

Sheng Long Yang; Jun Jie Ma; Cui Hua Wang; Sheng Ma Zhang

doi:10.4028/www.scientific.net/AMR.694-697.2715

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697Prediction of Short-Term Transportation Flow Based...

Prediction of Short-Term Transportation Flow Based on Optimizing Wavelet Neural Network by Genetic Algorithm

Abstract:

The weights and the parameter of Wavelet basis of the Wavelet neural network function are always initialized randomly, so the evolution of network tends to be local optima and each forecast results will vary widely. Genetic algorithm is used to optimal the weights and the parameter of Wavelet basis function of the Wavelet neural network, to construct a Wavelet neural network which is on the basis of genetic algorithm. In this paper, we apply this method to forecast short-term time traffic flow, verify with instances, and compare with Wavelet Neural Network Method. The results indicates that this method is not only more stable, but more precise.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

2715-2720

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.2715

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Online since:

May 2013

Authors:

Sheng Long Yang, Jun Jie Ma, Cui Hua Wang, Sheng Ma Zhang

Keywords:

Genetic Algorithm (GA), Optimization, Wavelet Neural Network (WNN)

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