Application of a recurrent neural network to prediction of drug dissolution profiles

Goh, W.Y., Lim, C.P., Peh, K.K. and Subari, K. 2002, Application of a recurrent neural network to prediction of drug dissolution profiles, Neural Computing and Applications, vol. 10, no. 4, pp. 311-317.

Attached Files
Name Description MIMEType Size Downloads

Title Application of a recurrent neural network to prediction of drug dissolution profiles
Author(s) Goh, W.Y.
Lim, C.P.
Peh, K.K.
Subari, K.
Journal name Neural Computing and Applications
Volume number 10
Issue number 4
Start page 311
End page 317
Total pages 7
Publisher Springer
Place of publication London, United Kindgom
Publication date 2002-04
ISSN 0941-0643
1433-3058
Keyword(s) Bootstrap confidence interval
Elman network
Pharmaceutical product formulation
Prediction of drug dissolution profile
Recurrent Neural Networks
Similarity factor
Language eng
Field of Research 119999 Medical and Health Sciences not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2002, Spinger
Persistent URL http://hdl.handle.net/10536/DRO/DU:30048749

Document type: Journal Article
Collection: Institute for Frontier Materials
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 10 times in TR Web of Science
Scopus Citation Count Cited 14 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 43 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Wed, 26 Sep 2012, 09:23:35 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.