Artificial Neural Networking in Controlled Drug Delivery

Abstract The usefulness of artificial neural networks (ANNs) in controlled drug delivery systems is expressed and explained in this chapter. The chapter includes the definition of ANN, an explanation of different models of ANN, basic backpropagation ANN model architecture, learning processes of ANN models, and prediction or optimization functions of the ANN model. Because of their capacity for making predictions as well as pattern recognition, moreover modeling, ANNs have been useful in various aspects of pharmaceutical research. In this chapter, the explanation of how to use ANN to design and develop controlled release drug delivery systems is discussed. Possible applications of ANN in the design and development of controlled release dosage forms are also summarized to make the users cognizant of using this tool to solve pharmaceutical problems.

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