Improved Thomas–Fiering and wavelet neural network models for cumulative errors reduction in reservoir inflow forecast-Reference-Cited by-同舟云学术

Improved Thomas–Fiering and wavelet neural network models for cumulative errors reduction in reservoir inflow forecast

Published:2016-12 Issue: Volume:13 Page:134-143
ISSN:1570-6443
Container-title:Journal of Hydro-environment Research
language:en
Short-container-title:Journal of Hydro-environment Research

Author:

Cui Quan,Wang Xuan,Li Chunhui,Cai Yanpeng,Liang Peiyu

Funder

National Key Technology R&D Program of China

National Natural Science Foundation of China

International Science & Technology Cooperation Program of China

Beijing Normal University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Environmental Chemistry,Civil and Structural Engineering,Environmental Engineering

Reference33 articles.

1. Atrazine mineralization potential in two wetlands;Anderson;Water Res,2002

2. Limitation of the artificial neural networks methodology for predicting the vertical swelling percentage of expansive clays;Bekhor;J. Mater. Civ. Eng,2013

3. Mathematical Models in Hydrology;Clarke,1973

4. Biofuels and implications for agricultural water use: blue impacts of green energy;De Fraiture;Water Policy,2008

5. Prediction models of short-term traffic flow based on neural network;Dong,2013

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