Developing ANN-Kriging hybrid model based on process parameters for prediction of mean residence time distribution in twin-screw wet granulation-Reference-Cited by-同舟云学术

Developing ANN-Kriging hybrid model based on process parameters for prediction of mean residence time distribution in twin-screw wet granulation

Published:2019-02 Issue: Volume:343 Page:568-577
ISSN:0032-5910
Container-title:Powder Technology
language:en
Short-container-title:Powder Technology

Author:

Ismail Hamza Y.,Singh Mehakpreet^ORCID,Darwish Shaza,Kuhs Manuel,Shirazian Saeed^ORCID,Croker Denise M.,Khraisheh Majeda,Albadarin Ahmad B.,Walker Gavin M.

Funder

Science Foundation Ireland

Pharmaceutical Manufacturing Technology Centre

Synthesis and Solid State Pharmaceutical Centre

Qatar National Research Fund

Publisher

Elsevier BV

Subject

General Chemical Engineering

Reference24 articles.

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5. S. Shirazian, M. Kuhs, S. Darwish, D. Croker, G.M. Walker, Artificial neural network modelling of continuous wet granulation using a twin-screw extruder, Int. J. Pharm.

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