Artificial Neural Networks and Neuro-Fuzzy Models: Applications in Pharmaceutical Product Development

Abstract

Pharmaceutical product development is a challenging, time-consuming, and cost-intensive process. Computational methods could be used for assistance and speed up the industrial process. Artificial neural networks (ANN) and neuro-fuzzy models are tools of artificial intelligence that can be used to develop pharmaceutical products to enhance productivity, quality, and consistency. In the present review, the working principle of ANN and neuro-fuzzy models has been discussed, elaborating on their different types, advantages, and disadvantages. Furthermore, the application of these computational techniques in developing pharmaceutical products like suspension, emulsion, microemulsion, nanocarriers, tablets, transdermal preparations, etc., has been discussed in detail.

Keywords:
Artificial neural networks; Neuro-fuzzy logic; Artificial intelligence; Pharmaceutical products; Computers; Computational

HIGHLIGHTS

• Introduction regarding artificial neural networks and neuro-fuzzy logics.

• Application of neuro-fuzzy logic in pharmaceutics product development.