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

• 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

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...