Support vector regression and artificial neural network models for stability indicating analysis of mebeverine hydrochloride and sulpiride mixtures in pharmaceutical preparation: A comparative study-Reference-Cited by-同舟云学术

Support vector regression and artificial neural network models for stability indicating analysis of mebeverine hydrochloride and sulpiride mixtures in pharmaceutical preparation: A comparative study

Published:2012-02 Issue: Volume:86 Page:515-526
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Naguib Ibrahim A.,Darwish Hany W.

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference31 articles.

1. The collinearity problem in linear regression. The partial least squares (PLS) approach to generalised inverses;Wold;SIAM J. Sci. Statist. Comput.,1984

2. Development and validation of three stability-indicating methods for determination of bisacodyl in pure form and pharmaceutical preparations;Metwally;J. AOAC Int.,2007

3. Development and validation of stability indicating HPLC and HPTLC methods for determination of sulpiride and mebeverine hydrochloride in combination;Naguib;Eur. J. Med. Chem.,2010

4. Multilevel multifactor designs for multivariate calibration;Brereton;Analyst,1997

5. Understanding and using genetic algorithms. Part 1. Concepts, properties and context;Lucasius;Chemom. Intell. Lab. Syst.,1993

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