State-of-the-Art Review of Artificial Neural Networks to Predict, Characterize and Optimize Pharmaceutical Formulation

State-of-the-Art Review of Artificial Neural Networks to Predict, Characterize and Optimize Pharmaceutical Formulation

During the development of a pharmaceutical formulation, a powerful tool is needed to extract the key points from the complicated process parameters and material attributes. Artificial neural networks (ANNs), a promising and more flexible modeling technique, can address real intricate questions in a...

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Bibliographic Details
Main Authors: Shan Wang, Jinwei Di, Dan Wang, Xudong Dai, Yabing Hua, Xiang Gao, Aiping Zheng, Jing Gao
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Pharmaceutics
Subjects:
artificial neural networks
artificial intelligence
pharmaceutical formulation
multilayer perceptron
Online Access:https://www.mdpi.com/1999-4923/14/1/183

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https://www.mdpi.com/1999-4923/14/1/183

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