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Review of various applications of the ANN
methodology ( Continued)
Table 5.2
Application
ANN used Reference
Investigation of controlled drug release. Drug
fraction and time were used as network inputs
and in vitro dissolution profi les as outputs.
MLP
Reis et al.,
2004
Prediction of dissolution profi les for matrix
controlled release theophylline pellet preparation.
Inputs for the network training were the matrix
forming agents' ratio, and the time point of the
measurement of percentage of drugs dissolved;
in vitro dissolution profi les were used as outputs.
EDNN
Goh et al.,
2002
Modeling of diclofenac sodium release from
polyethylene oxide matrix tablets. Polymer weight
ratio and compression force were used as inputs,
whereas in vitro dissolution profi les were used as
network outputs. Dissolution profi les were treated
as time series using DNN.
MLP,
GMDNN,
OLDNN
Petrovi ´
et al., 2009
Modeling of drug release profi les for hydrophilic
and lipid matrix tablets. Formulation composition,
compression force, and tablet tensile strength
were used as inputs, whereas dissolution profi les
were the network outputs.
MLP, EDNN Petrovi ´
et al., 2012
Drug release control and system understanding
of sucrose esters (SEs) matrix tablets.
Network inputs were HLB values of SEs, SEs
concentration, tablet volume, tablet porosity, and
tablet tensile strength. In vitro dissolution profi les
and parameters indicative of burst release MDT
and release exponent were used as outputs.
MLP
Chansanroj
et al., 2011
￿
￿
￿
Optimization of diclofenac sodium release from
compressed multiple unit particle system
(MUPS). Network inputs were the amount of the
polymer used and the crushing strength of the
MUPS tablets. Several time points of in vitro
release profi les were network outputs.
GRNN
Ivic et al.,
2010
A number of unique ANN confi gurations are
presented, that have been evaluated for their
ability to determine an IVIVC from different
formulations of the same product. In vitro
dissolution data were used as inputs and
associated outputs were pharmacokinetic
time points from 9 patients enrolled in a
crossover study.
MLP,
GRNN,
RNN
Dowell
et al., 1999
 
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