Name
Title | ||
|---|---|---|
A Dynamic Traffic Forecast Using Hybrid Wavelet Network with an Adaptive Genetic Local Search |
Abstract | ||
|---|---|---|
The paper proposes a dynamic predictor using hybrid wavelet neural network, which use multiple types of mother wavelet in the network according to the feature of pattern change of predicted information instead of a single type. The predictor has function of parallel prediction. In addition, an adaptive genetic local search algorithm is employed to train effectively the network. A case study of traffic information forecasting using proposed wavelet neural network is demonstrated. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ITSC.2007.4357671 | 2007 IEEE Intelligent Transportation Systems Conference |
Keywords | Field | DocType |
dynamic traffic forecast,hybrid wavelet neural network,adaptive genetic local search,dynamic predictor,parallel prediction,traffic information forecasting | Data mining,Wavelet neural network,Traffic forecast,Computer science,Artificial intelligence,Local search (optimization),Artificial neural network,Wavelet transform,Wavelet | Conference |
Volume | Issue | ISSN |
null | null | 2153-0009 |
ISBN | Citations | PageRank |
978-1-4244-1395-9 | 1 | 0.39 |
References | Authors | |
5 | 2 | |