Wavelet-based denoising for traffic volume time series forecasting with self-organizing neural networks

Computer-Aided Civil and Infrastructure Engineering

Volumn 25, Issue 7, 2010, Pages 530-545

  Boto Giralda, Daniel ^a   Díaz Pernas, Francisco J ^a   González Ortega, David ^a   Díez Higuera, José F ^a   Antón Rodríguez, Míriam ^a   Martínez Zarzuela, Mario ^a   Torre Díez, Isabel ^a  

^a UNIVERSITY OF VALLADOLID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL MODEL; COMPUTATIONAL MODELING; CONFIGURATION PARAMETERS; CROSS SECTION; DE-NOISING; INTELLIGENT TRANSPORTATION SYSTEMS; METHODOLOGICAL APPROACH; NETWORK LINKS; PREDICTION HORIZON; PREDICTION MODEL; QUANTITATIVE COMPARISON; REAL WORLD DATA; SELF-ORGANIZING FUZZY NEURAL NETWORK; SELF-ORGANIZING NEURAL NETWORK; SHORT TERM PREDICTION; STATIONARY WAVELET; TIME SERIES FORECASTING; TRAFFIC SURVEILLANCE; TRAFFIC VOLUMES; VOLUME DATA;

FORECASTING; FUZZY NEURAL NETWORKS; HIGHWAY TRAFFIC CONTROL; INTELLIGENT SYSTEMS; MATHEMATICAL MODELS; NOISE POLLUTION CONTROL; TIME SERIES;

REAL TIME SYSTEMS;

ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; DATA SET; FUZZY MATHEMATICS; INTELLIGENT TRANSPORTATION SYSTEM; TIME SERIES; WAVELET ANALYSIS;

EID: 77955730829     PISSN: 10939687     EISSN: 14678667     Source Type: Journal    
DOI: 10.1111/j.1467-8667.2010.00668.x     Document Type: Article

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