Application of machine learning algorithms for nonlinear system forecasting through analytics — A case study with mining influenced water data-Reference-Cited by-同舟云学术

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Application of machine learning algorithms for nonlinear system forecasting through analytics — A case study with mining influenced water data

Published:2023-06 Issue: Volume:29 Page:100209
ISSN:2212-3717
Container-title:Water Resources and Industry
language:en
Short-container-title:Water Resources and Industry

Author:

More Kagiso Samuel^ORCID,Wolkersdorfer Christian^ORCID

Publisher

Elsevier BV

Subject

Water Science and Technology,Geography, Planning and Development

Reference55 articles.

1. Effects of mining on surface water – case studies;Wolkersdorfer,2022

2. The mean hydraulic residence time and its use for assessing the longevity of mine water pollution from flooded underground mines;Paul,2011

3. The longevity of mine water pollution – a basis for decision making;Younger;Sci. Total Environ.,1997

4. Automated measurement systems in mine water management and mine workings — a review of potential methods;More;Water Resour. Ind.,2020

5. Predicting and Forecasting Mine Water Parameters Using a Hybrid Intelligent System;More,2022

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3. The application of artificial neural network model to predicting the acid mine drainage from long-term lab scale kinetic test;E3S Web of Conferences;2024

4. Modern Real-World Applications Using Data Analytics and Machine Learning;Studies in Big Data;2024

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