[HTML][HTML] An artificial neural network mechanism for optimizing the water treatment process and desalination process
AI Taloba - Alexandria Engineering Journal, 2022 - Elsevier
An artificial neural network (ANN) was created to predict the operation of a reverse osmosis
desalination process, and then it was utilized to supply water temperature modeling. The …
desalination process, and then it was utilized to supply water temperature modeling. The …
Emerging evolutionary algorithm integrated with kernel principal component analysis for modeling the performance of a water treatment plant
Providing a robust and reliable model is essential for hydro-environmental and public health
engineering perspectives, including water treatment plants (WTPs). The current research …
engineering perspectives, including water treatment plants (WTPs). The current research …
Multi-parametric modeling of water treatment plant using AI-based non-linear ensemble
In this research, general regression neural network (GRNN), Hammerstein-wiener (HW) and
non-linear autoregressive with exogenous (NARX) neural network, least square support …
non-linear autoregressive with exogenous (NARX) neural network, least square support …
[HTML][HTML] Intelligent system for improving dosage control
FCR dos Santos, AFH Librantz, CG Dias… - Acta Scientiarum …, 2017 - redalyc.org
Coagulation is one of the most important processes in a drinking-water treatment plant, and
it is applied to destabilize impurities in water for the subsequent flocculation stage. Several …
it is applied to destabilize impurities in water for the subsequent flocculation stage. Several …
Predictive performance modeling of Habesha Brewery's wastewater treatment plant using artificial neural networks
E Barsenga - 2020 - ir.bdu.edu.et
The progressive deterioration of water resources and the large amount of polluted water
generated from industries has made Wastewater Treatment Plants (WTPs) a fundamental …
generated from industries has made Wastewater Treatment Plants (WTPs) a fundamental …
A precise dosing system based on a coagulation reaction model for water treatment
CY Huang, YY Chen, SH Chuang, YS Hsu… - Journal of Water …, 2025 - Elsevier
Coagulant dosing in water treatment plants typically relies on operators' subjective
judgments, supplemented by water quality data and experimental records. This approach …
judgments, supplemented by water quality data and experimental records. This approach …
Artificial intelligence in water treatment process optimization
JK Sahith, B Lal - Gas Hydrate in Water Treatment …, 2022 - Wiley Online Library
This chapter covers the application of ANN in wastewater and freshwater treatment
processes. Artificial intelligence (AI) is being used in water treatment to overcome the …
processes. Artificial intelligence (AI) is being used in water treatment to overcome the …
Water quality evaluation of spring waters in Nsukka, Nigeria
ME Okechukwu, V Ogwo, CU Onuegbu… - Nigerian Journal of …, 2013 - ajol.info
Water qualities of springs in their natural state are supposed to be clean and potable.
Although, water quality is not a static condition it depends on the local geology and …
Although, water quality is not a static condition it depends on the local geology and …
An Approach to Clustering Using the Expectation-Maximization and Selection of Attributes ReliefF Applied to Water Treatment Plants process
FCR dos Santos, AFH Librantz, RJ Sassi - Progress in Pattern Recognition …, 2018 - Springer
The water treatment process contains several physico-chemical parameters relevant to
decision making and the water quality scenarios' identification. Some scenarios are evident …
decision making and the water quality scenarios' identification. Some scenarios are evident …