Least-Squares Support Vector Machine and its Application in the Simultaneous Quantitative Spectrophotometric Determination of Pharmaceutical Ternary Mixture: Determination of pharmaceutical ternary mixture

نویسندگان
Alireza Nezamzadeh-Ejhieh ID 1
Shirin Mofavvaz ID 2
Mahmoud Reza Sohrabi ID 3
Shiva Sahebi Farhad ID 4

1 Department of Chemistry, Shahreza Branch, Islamic Azad University, Shahreza, Isfahan, Iran

2 Department of Chemistry, Shahreza Branch, Islamic Azad University, Shahreza, Isfahan, Iran

3 Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, Iran

4 Department of Chemistry, North Tehran Branch, Islamic Azad University, Tehran, Iran

doi
10.22037/ijps.v14.40636
چکیده

This paper proposes the least-squares support vector machine (LS-SVM) as an intelligent method applied on absorption spectra for the simultaneous determination of paracetamol (PCT), caffeine (CAF), and ibuprofen (IB) in Novafen. The signal to noise ratio (S/N) increased. Also, In the LS - SVM model, Kernel parameter (

کلیدواژه‌ها
least-squares support vector machine, UV Spectroscopy, Paracetamol, Caffeine, Ibuprofen, Novafen