Artificial neural network modelling for removal of chromium (VI) from wastewater using physisorption onto powdered activated carbon

K Anupam, S Dutta, C Bhattacharjee… - Desalination and Water …, 2016 - Taylor & Francis
A three-layered feed-forward artificial neural network (ANN) model has been designed to
predict the adsorption efficiency and adsorption capacity for the adsorptive removal of …

Artificial neural network approach to model Cr (III) and Cr (VI) adsorption by NCS, ACS and BCS

F Göde, A Yılmaz, AH Aktaş, E Pehlivan - Applied Water Science, 2024 - Springer
Adsorption properties of Cr (III) and Cr (VI) on natural (NCS), acid-activated (ACS) and base-
activated (BCS) cherry stalks (CS) in Isparta were investigated in aqueous solutions. Batch …

Adsorption of crude oil using meshed groundnut husk

DB Nwokoma, U Anene - Chemical Product and Process Modeling, 2010 - degruyter.com
There is an increasing awareness of the impact of spilled crude oil and its refined products
on human health and environment. The potential of using groundnut husk, agro-based …

Preparation of palm oil industry's biomass-based graphene composite for the adsorptive removal of methylene blue

YH Teow… - Adsorption Science …, 2021 - journals.sagepub.com
The ability of POME-based graphene shell composite (P-GSC), an adsorbent generated
from oil palm wastes abundantly available in Malaysia such as POME and PKS, was …

[PDF][PDF] Modeling of adsorption isotherm constants using regression analysis and neural networks

BV Babu, V Ramakrishna - Proc. of 2nd Intern. Conf. on Water Quality …, 2003 - Citeseer
This paper deals with modeling the suitability of novel adsorbents in terms of the isotherm
constants and temperature. Two different models viz., Linear Regression Model (LRM) and …

[PDF][PDF] Production of adsorbent from local raw materials for the removal of fluoride from water

KK Dagde, JG Akpa, AA Ekine - European Journal of …, 2019 - idpublications.org
This study investigated the adsorption capacity of locally prepared adsorbents from Goat
bones and Egg shells for the removal of fluoride ion in water. It evaluated the performance of …

[PDF][PDF] Artificial Neural Networks for Modeling of Adsorption

BV Babu, V Ramakrishna, KK Chakravarthy - Learning, 2008 - Citeseer
Abstract Artificial Neural Networks are applied to the literature data pertaining to adsorption
batch studies to develop and validate a model that can predict the Pollutant Removal …

[引用][C] Evaluation of artificial neural network and multiple regression model for Cd (II) sorption on activated carbons

H Manoharan, S Krishnamoorthy - Elixir Pollut, 2012