Investigation of the Environmental Quality of Watershed Prediction System Based on an Artificial Intelligence Algorithm

Author:

Liu Zian,Ren Lingwei,Ke Zhonghao,Jin Xizheng,Rui Shuya,Pan Hua,Ye Zhiping

Publisher

Elsevier BV

Reference19 articles.

1. Feature Selection Based on a Sparse Neural-Network Layer With Normalizing Constraints;P Bugata;Ieee Transactions on Cybernetics,2023

2. The Mobile Water Quality Monitoring System Based on Low-Power Wide Area Network and Unmanned Surface Vehicle;W Chen;Wireless Communications & Mobile Computing,2021

3. New methods based on back propagation (BP) and radial basis function (RBF) artificial neural networks (ANNs) for predicting the occurrence of haloketones in tap water;Y Deng;Science of The Total Environment,2021

4. Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm;Z Di;Journal of Hydrology,2018

5. Technical application microcomputer-based remote terminal unit for a SCADA system;G T Heng;Microprocessors and Microsystems,1996

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