Population Balance Model-Based Hybrid Neural Network for a Pharmaceutical Milling Process-Reference-Cited by-同舟云学术

Population Balance Model-Based Hybrid Neural Network for a Pharmaceutical Milling Process

Published:2010-10-08 Issue:4 Volume:5 Page:161-168
ISSN:1872-5120
Container-title:Journal of Pharmaceutical Innovation
language:en
Short-container-title:J Pharm Innov

Author:

Kumar Akkisetty Pavan,Lee Ung,Reklaitis Gintaras V.,Venkatasubramanian Venkat

Publisher

Springer Science and Business Media LLC

Subject

Drug Discovery,Pharmaceutical Science

Link

http://link.springer.com/content/pdf/10.1007/s12247-010-9090-2.pdf

Reference18 articles.

1. Ramkrishna D. The status of population balances. Rev Chem Eng. 1985;3(1):49–95.

2. Bilgili, E. and B. Scarlett (2003) Estimation of the selection and breakage parameters from batch grinding: a novel full numerical scheme. In Proceedings of AICHE Annual Meeting, San Francisco

3. Bilgili E, Scarlett B. Population balance modeling of non-linear effects in milling processes. Powder Technol. 2005;153(1):59–71.

4. Bilgili E, Yepes J, Scarlett B. Formulation of a non-linear framework for population balance modeling of batch grinding: Beyond first-order kinetics. Chem Eng Sci. 2006;61(1):33–44.

5. Chen Y, Ding Y, Papadopoulos DG, Ghadiri M. Energy-based analysis of milling. J Pharm Sci. 2004;93(4):886–95.

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