人工神经网络和神经模糊模型:在医药产品开发中的应用

IF 1 4区 生物学 Q3 BIOLOGY
I. Singh, Jaswinder Kaur, Sukhanpreet Kaur, B. Barik, R. Pahwa
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引用次数: 1

摘要

药品开发是一个具有挑战性、耗时和成本密集的过程。计算方法可用于辅助和加快工业进程。人工神经网络(ANN)和神经模糊模型是人工智能的工具,可用于开发药品,以提高生产率、质量和一致性。本文讨论了人工神经网络和神经模糊模型的工作原理,阐述了它们的不同类型及其优缺点。此外,还详细讨论了这些计算技术在开发悬浮液、乳剂、微乳剂、纳米载体、片剂、透皮制剂等药物产品中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Neural Networks and Neuro-Fuzzy Models: Applications in Pharmaceutical Product Development
: 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.
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来源期刊
CiteScore
1.80
自引率
0.00%
发文量
116
审稿时长
3 months
期刊介绍: Information not localized
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