Dual Artificial Neural Network for Rainfall-Runoff Forecasting

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"Dual Artificial Neural Network for Rainfall-Runoff Forecasting"
written by Pallavi Mittal, Swaptik Chowdhury, Sangeeta Roy, Nikhil Bhatia, Roshan Srivastav,
published by Journal of Water Resource and Protection, Vol.4 No.12, 2012

has been cited by the following article(s):

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[1]	Rainfall Prediction Using Machine Learning 2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR), 2022 DOI:10.1109/ICAITPR51569.2022.9844203

[2]	ANN-based Rainfall-Runoff Model and Its Performance Evaluation of Sabarmati River Basin, Gujarat, India Water Conservation Science and Engineering, 2022 DOI:10.1007/s41101-022-00160-1

[3]	ANN-based Rainfall-Runoff Model and Its Performance Evaluation of Sabarmati River Basin, Gujarat, India Water Conservation Science and Engineering, 2022 DOI:10.1007/s41101-022-00160-1

[4]	Rainfall–runoff modelling using octonion-valued neural networks Hydrological Sciences Journal, 2021 DOI:10.1080/02626667.2021.1962885

[5]	A new procedure for optimization of hidden layer neurons during learning through gradient descent process of neural network and improvement of performance in the chaos forecasting Iran Journal of Computer Science, 2021 DOI:10.1007/s42044-021-00089-z

[6]	Effect of Watershed Characteristics on a Rainfall Runoff Analysis and Hydrological Model Selection - A review 2021 International Conference on Computing, Communication and Green Engineering (CCGE), 2021 DOI:10.1109/CCGE50943.2021.9776398

[7]	Sustainability impacts of tidal river management: Towards a conceptual framework Ecological Indicators, 2018 DOI:10.1016/j.ecolind.2017.10.022

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[11]	Streamflow Decomposition Based Integrated ANN Model Open Journal of Modern Hydrology, 2013 DOI:10.4236/ojmh.2013.31003

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