Novel model based on Wavelet Transform and GA-Fuzzy Neural Network applied to short time traffic flow prediction

Information Technology Journal

Volumn 10, Issue 11, 2011, Pages 2105-2111

  Gu, Yuesheng ^a,b   Li, Yancui ^a   Xu, Jiucheng ^c   Liu, Yanpei ^a  

^a HENAN INSTITUTE OF SCIENCE AND TECHNOLOGY   (China)

^b CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^c HENAN NORMAL UNIVERSITY   (China)

Author keywords

FNN; GA; Prediction; Short time traffic flow; Wavelet transform

Indexed keywords

ANALYSIS RESULTS; ANN PREDICTION; ARTIFICIAL NEURAL NETWORK; FNN; FORECASTING PERFORMANCE; GENETIC-ALGORITHM OPTIMIZATIONS; HYBRID INTELLIGENT FORECASTING; INADEQUATE DESIGN; KEYPOINTS; MODEL-BASED OPC; PREDICTION ACCURACY; PREDICTION MODEL; PREDICTION PRECISION; PREDICTION RATE; SHORT TIME TRAFFIC FLOW; STOCHASTIC CHARACTERISTIC; TESTING DATA; TRAFFIC FLOW; TRAFFIC FLOW PREDICTION;

FUZZY NEURAL NETWORKS; GALLIUM; GENETIC ALGORITHMS; OPTIMIZATION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TRAFFIC CONTROL; WAVELET TRANSFORMS;

FORECASTING;

EID: 80053647906     PISSN: 18125638     EISSN: 18125646     Source Type: Journal    
DOI: 10.3923/itj.2011.2105.2111     Document Type: Article

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