Modelling and optimization of process parameters for silver nanoparticles synthesis: A comparison between response surface methodology and artificial neural network

• 主要な著者: Chowdhury, Silvia, Yusof, Faridah, Sulaiman, Nadzril, Faruck, Mohammad Omer, Sidek , Shahrul Naim
• フォーマット: Conference or Workshop Item
• 言語: English
• 出版事項: Kulliyah of Engineering, International Islamic University Malaysia 2016
• 主題: TA Engineering (General). Civil engineering (General)
• オンライン･アクセス: http://irep.iium.edu.my/51712/1/51712.pdf; http://irep.iium.edu.my/51712/; http://www.iium.edu.my/icbioe/2016/

In recent decades, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) have become the most used method for empirical modelling and optimization of process parameters in Chemical Engineering. This paper reports a comparative study between RSM and ANN data analysis methods for p...