A modeling study by artificial neural network on process parameter optimization for silver nanoparticle production

A modeling study by artificial neural network on process parameter optimization for silver nanoparticle production

Artificial neural network (ANN) is the most accepted method for non-parametric modelling and process optimization of chemical engineering. The paper focuses on using ANN to analyse the yield production rate of silver nanoparticles (AgNPs). The study examines the effect of AgNO3 concentration, stirr...

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Bibliographic Details
Main Authors: Chowdhury, Silvia, Yusof, Faridah, Sulaiman, Nadzril, Sidek, Shahrul Na'im, Faruck, Mohammad Omer
Format: Article
Language:English
English
Published: Asian Research Publishing Network (ARPN) 2016
Subjects:
QD Chemistry
T Technology (General)
Online Access:http://irep.iium.edu.my/52645/1/jeas_1016_5222.pdf
http://irep.iium.edu.my/52645/7/52645_A%20modeling%20study%20by%20artificial%20neural%20network_SCOPUS.pdf
http://irep.iium.edu.my/52645/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_1016_5222.pd
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
English

Internet

http://irep.iium.edu.my/52645/1/jeas_1016_5222.pdf
http://irep.iium.edu.my/52645/7/52645_A%20modeling%20study%20by%20artificial%20neural%20network_SCOPUS.pdf
http://irep.iium.edu.my/52645/
http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_1016_5222.pd

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