Multilayer perceptron and support vector machine trained with grey wolf optimiser for predicting floods in Barak river, India
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12040-022-01815-2.pdf
Reference86 articles.
1. Agarwal A, Mishra S K, Ram S and Singh J K 2006 Simulation of runoff and sediment load using artificial neural networks; Biosyst. Eng. 94(4) 597–613.
2. Aksoy H and Dahamsheh A 2009 Artificial neural network models for forecasting monthly precipitation in Jordan; Stoch. Environ. Res. Risk Assess. 23(7) 917–931.
3. Amid S and Mesri-Gundoshmian T 2017 Prediction of output energies for broiler production using linear regression, ANN (MLP, RBF), and ANFIS models; Environ. Prog. Sust. Energy 36 577–585.
4. Anupam S and Pani P 2020 Flood forecasting using a hybrid extreme learning machine–particle swarm optimization algorithm (ELM–PSO) model; Model. Earth Syst. Environ. 6(1) 341–347.
5. Araghinejad S 2013 Data-driven modeling: Using MATLAB® in water resources and environmental engineering; Vol. 67, Springer Science & Business Media, Springer, Dordrecht.
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