Long‐term streamflow forecasting using artificial neural network based on preprocessing technique-Reference-Cited by-同舟云学术

Long‐term streamflow forecasting using artificial neural network based on preprocessing technique

Published:2019-01-04 Issue:3 Volume:38 Page:192-206
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Li Fang‐Fang¹^ORCID,Wang Zhi‐Yu²,Qiu Jun³

Affiliation:

1. College of Water Resources and Civil EngineeringChina Agricultural University Beijing 100083 China

2. Shandong Water Conservancy Vocational College Rizhao 276826 China

3. State Key Laboratory of Hydroscience and EngineeringTsinghua University Beijing 100084 China

Funder

National Key R&D Program of China

Open Project of State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modelling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2564

Reference56 articles.

1. A comparative study of artificial neural networks and neuro-fuzzy in continuous modeling of the daily and hourly behaviour of runoff

2. Clustering flood events from water quality time series using Latent Dirichlet Allocation model

3. Comparison of Wavelet-Based ANN and Regression Models for Reservoir Inflow Forecasting

4. Combining Stochastic Weather Generation and Ensemble Weather Forecasts for Short-Term Streamflow Prediction

5. Flood control management system for reservoirs

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