Symbolic regression via genetic programming in the optimization of a controlled release pharmaceutical formulation-Reference-Cited by-同舟云学术

Symbolic regression via genetic programming in the optimization of a controlled release pharmaceutical formulation

Published:2011-05 Issue:1 Volume:107 Page:75-82
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Barmpalexis P.,Kachrimanis K.,Tsakonas A.,Georgarakis E.

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference16 articles.

1. Formulation and optimization of controlled release mucoadhesive tablets of atenolol using response surface methodology;Singh;AASP PharmSciTech,2006

2. Once-daily propanolol extended-release tablet dosage form: formulation design and in vitro/in vitro investigation;Huang;Eur. J. Pharm. Biopharm.,2004

3. Application of artificial neural networks in the design of controlled release drug delivery systems;Sun;Adv. Drug Deliv. Rev.,2003

4. Artificial neural networks in the optimization of a nimodipine controlled release formulation;Barmpalexis;Eur. J. Pharm. Biopharm.,2010

5. Modelling drug dissolution from controlled release products using genetic probraming;Do;Int. J. Pharm.,2008

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