Nonlinear Model for Drought Forecasting Based on a Conjunction of Wavelet Transforms and Neural Networks-Reference-Cited by-同舟云学术

Nonlinear Model for Drought Forecasting Based on a Conjunction of Wavelet Transforms and Neural Networks

Published:2003-11 Issue:6 Volume:8 Page:319-328
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Kim Tae-Woong¹,Valdés Juan B.²

Affiliation:

1. Graduate Research Assistant, Dept. of Civil Engineering and Engineering Mechanics, and Center for Sustainability of Semi-Arid Hydrology and Riparian Areas (SAHRA), The Univ. of Arizona, Tucson, AZ 85721-0072.

2. Professor and Head, Dept. of Civil Engineering and Engineering Mechanics, and Center for Sustainability of Semi-Arid Hydrology and Riparian Areas (SAHRA), The Univ. of Arizona, Tucson, AZ 85721-0072.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%291084-0699%282003%298%3A6%28319%29

Reference36 articles.

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3. Wavelet-based feature extraction and decomposition strategies for financial forecasting.;Aussem A.;J. Comput. Intelli. Fin.,1998

4. Combining Neural Network Forecasts on Wavelet-transformed Time Series

5. Effects of Learning Parameters on Learning Procedure and Performance of a BPNN

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