Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich wastewater

Development and optimization of a neural network model using genetic algorithm to predict the performance of a packed bed reactor treating sulphate-rich wastewater

The performance of a packed bed reactor (PBR) containing immobilized sulphate reducing bacteria for sulphate removal from wastewater, utilizing carbon monoxide (CO) as the sole electron donor, is demonstrated. The performance of the PBR system in terms of CO and sulphate removal efficiencies (%RECO...

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Bibliographic Details
Main Authors: Manoj Kumar, Rohil Saraf, Shishir Kumar Behera, Raja Das, Mansi Aliveli, Arindam Sinharoy, Eldon R. Rene, Ravi Krishnaiah, Kannan Pakshirajan
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Case Studies in Chemical and Environmental Engineering
Subjects:
Modelling
Wastewater treatment
Sulphate removal
Multi-layered perceptron
Levenberg marquardt
Online Access:http://www.sciencedirect.com/science/article/pii/S2666016424001877
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