Effect of Southern Oscillation Index and spatially distributed climate data on improving the accuracy of Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and K-Nearest Neighbour streamflow forecasting models-Reference-Cited by-同舟云学术

Effect of Southern Oscillation Index and spatially distributed climate data on improving the accuracy of Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System and K-Nearest Neighbour streamflow forecasting models

Published:2013-01-04 Issue:4 Volume:30 Page:367-380
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Saghafian Bahram¹,Anvari Sedigheh²,Morid Saeed²

Affiliation:

1. Technical and Engineering Department, Science and Research Branch; Islamic Azad University; Tehran; Iran

2. Agricultural Engineering Department; Tarbiat Modares University; Tehran; Iran

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/exsy.12009/fullpdf

Reference41 articles.

1. Analysis and prediction of flow from local source in a river basin using a Neuro-fuzzy modeling tool;Aqil;Journal of Environmental Management,2006

2. A comparative study of artificial neural networks and neuro-fuzzy in continuous modeling of the daily and hourly behaviour of runoff;Aqil;Journal of Hydrology,2007

3. Araghinejad , S.H. 2005 Water resource planning and management based on climatic analysis PhD Thesis

4. Artificial neural networks in hydrology-I. Preliminary concepts;ASCE Task Committee on Application of Artificial Neural Networks in Hydrology;Journal of Hydrologic Engineering,2000a,b

5. Artificial neural networks in hydrology-II. Hydrologic applications;ASCE Task Committee on Application of Artificial Neural Networks in Hydrology;Journal of Hydrologic Engineering,2000b

Cited by 16 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. Assessment of machine learning models for short-term streamflow estimation: the case of Dez River in Iran;Sustainable Water Resources Management;2024-01-21

2. Machine learning-based anomaly detection of groundwater microdynamics: case study of Chengdu, China;Scientific Reports;2023-09-07

3. Long-lead streamflow forecasting using computational intelligence methods while considering uncertainty issue;Environmental Science and Pollution Research;2023-06-27

4. High Accuracy Modeling for Solar PV Power Generation Using Noble BD-LSTM-Based Neural Networks with EMA;Applied Sciences;2020-10-20

5. An Bayesian Learning and Nonlinear Regression Model for Photovoltaic Power Output Forecasting;Applied Mathematics and Nonlinear Sciences;2020-07-01