Hybrid Optimization Rainfall-Runoff Simulation Based on Xinanjiang Model and Artificial Neural Network-Reference-Cited by-同舟云学术

Hybrid Optimization Rainfall-Runoff Simulation Based on Xinanjiang Model and Artificial Neural Network

Published:2012-09 Issue:9 Volume:17 Page:1033-1041
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Song Xiao-meng¹,Kong Fan-zhe²,Zhan Che-sheng³,Han Ji-wei⁴

Affiliation:

1. Doctoral Candidate, Nanjing Hydraulic Research Institute, Nanjing 210029, Jiangsu, China; formerly, Graduate Student, School of Resource and Earth Science, China Univ. of Mining and Technology, Xuzhou 221116, Jiangsu, China.

2. Professor, School of Resource and Earth Science, China Univ. of Mining and Technology, Xuzhou 221116, Jiangsu, China.

3. Assistant Professor, Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China (corresponding author).

4. Graduate Student, School of Resource and Earth Science, China Univ. of Mining and Technology, Xuzhou 221116, Jiangsu, China.

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%29HE.1943-5584.0000548

Reference55 articles.

1. Comparing neural network and autoregressive moving average techniques for the provision of continuous river flow forecasts in two contrasting catchments

2. Neural network modelling of non-linear hydrological relationships

3. Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms

4. Hydrologic Applications of MRAN Algorithm

5. Artificial Neural Networks in Hydrology. II: Hydrologic Applications

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Streamflow Prediction Physically Consistently Using Process-Based Modeling and Domain Knowledge: A Review;Sustainability;2024-02-06

2. A novel fast and efficient adaptive shuffled complex evolution algorithm for model parameter calibration;Frontiers in Environmental Science;2024-01-08

3. Modeling of Monthly Rainfall–Runoff Using Various Machine Learning Techniques in Wadi Ouahrane Basin, Algeria;Water;2023-10-12

4. Robust Runoff Prediction With Explainable Artificial Intelligence and Meteorological Variables From Deep Learning Ensemble Model;Water Resources Research;2023-09

5. Comparative study of machine learning methods and GR2M model for monthly runoff prediction;Ain Shams Engineering Journal;2023-04