Artificial Neural Network (ANN): Application in Pharmaceutics - Chakraborty, Prithviraj
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In the progression of a dosage form, an essential distress is to layout an optimized pharmaceutical formula in an ephemeral time period with marginal trials. Due to the difficulty inside the improvement of pharmaceutical formulations, some computer-based optimization strategies has been utilized correctly. The purpose of this book is to revise the theoretical history and application of an artificial neural network (ANN), a computational version for storing and retrieving obtained expertise, during pharmaceutical formulation development.

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Produktbeschreibung
In the progression of a dosage form, an essential distress is to layout an optimized pharmaceutical formula in an ephemeral time period with marginal trials. Due to the difficulty inside the improvement of pharmaceutical formulations, some computer-based optimization strategies has been utilized correctly. The purpose of this book is to revise the theoretical history and application of an artificial neural network (ANN), a computational version for storing and retrieving obtained expertise, during pharmaceutical formulation development.
Autorenporträt
Dr. Prithviraj Chakraborty verfügt über eine Gesamterfahrung von etwa 12 Jahren in Lehre und Forschung. Er hat mehr als 28 Veröffentlichungen in Fachzeitschriften mit hohem Impact-Faktor und einem kumulativen SCI-Impact-Faktor von mehr als 20. Er hat drei Kapitel in Büchern verfasst, die von John Wiley & Sons Inc, U.S.A, CRC Press, USA, und Basera Verlag, Deutschland, veröffentlicht wurden.