Modeling and Optimization of Defluoridation by Calcined Ca-Al-(NO3)-LDH Using Response Surface Methodology and Artificial Neural Network Combined with Experimental Design-Reference-Cited by-同舟云学术

Modeling and Optimization of Defluoridation by Calcined Ca-Al-(NO3)-LDH Using Response Surface Methodology and Artificial Neural Network Combined with Experimental Design

Published:2017-07 Issue:3 Volume:21 Page:04016024
ISSN:2153-5493
Container-title:Journal of Hazardous, Toxic, and Radioactive Waste
language:en
Short-container-title:J. Hazard. Toxic Radioact. Waste

Author:

Gupta Ashok K.¹,Ghosal Partha S.²,Srivastava Suneel K.³

Affiliation:

1. Professor, Environmental Engineering Division, Dept. of Civil Engineering, Indian Institute of Technology, Kharagpur, West Bengal 721 302, India (corresponding author).

2. Ph.D. Student, Environmental Engineering Division, Dept. of Civil Engineering, Indian Institute of Technology, Kharagpur, West Bengal 721 302, India.

3. Professor, Dept. of Chemistry, Indian Institute of Technology, Kharagpur, West Bengal 721 302, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Geotechnical Engineering and Engineering Geology,Water Science and Technology,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HZ.2153-5515.0000343

Reference47 articles.

1. Improving response surface methodology by using artificial neural network and simulated annealing

2. Response surface modeling of Carbamazepine (CBZ) removal by Graphene-P25 nanocomposites/UVA process using central composite design

3. Optimization of Orange G dye adsorption by activated carbon of Thespesia populnea pods using response surface methodology

4. Artificial neural network (ANN) approach for modeling of Cr(VI) adsorption from aqueous solution by zeolite prepared from raw fly ash (ZFA)

5. Fluoride in Drinking Water: A Review on the Status and Stress Effects

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