Artificial neural networks (ANNs) and modeling of powder flow

Volume: 250, Issue: 1, Pages: 13 - 23
Published: Jan 1, 2003
Abstract
Effects of micromeritic properties (bulk, tapped and particle density, particle size and shape) on the flow rate through circular orifices are investigated, for three pharmaceutical excipients (Lactose, Emcompress and Starch) separated in four sieve fractions, and are modeled with the help of artificial neural networks (ANNs). Eight variables were selected as inputs and correlated by applying the Spearman product-moment correlation matrix and...
Paper Details
Title
Artificial neural networks (ANNs) and modeling of powder flow
Published Date
Jan 1, 2003
Volume
250
Issue
1
Pages
13 - 23
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