Comparison of multi-linear regression, particle swarm optimization artificial neural networks and genetic programming in the development of mini-tablets

Volume: 551, Issue: 1-2, Pages: 166 - 176
Published: Nov 1, 2018
Abstract
In the present study, the preparation of pharmaceutical mini-tablets was attempted in the framework of Quality by Design (QbD) context, by comparing traditionally used multi-linear regression (MLR), with artificially-intelligence based regression techniques (such as standard artificial neural networks (ANNs), particle swarm optimization (PSO) ANNs and genetic programming (GP)) during Design of Experiment (DoE) implementation. Specifically, the...
Paper Details
Title
Comparison of multi-linear regression, particle swarm optimization artificial neural networks and genetic programming in the development of mini-tablets
Published Date
Nov 1, 2018
Volume
551
Issue
1-2
Pages
166 - 176
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