I. Singh, Jaswinder Kaur, Sukhanpreet Kaur, B. Barik, R. Pahwa
{"title":"人工神经网络和神经模糊模型:在医药产品开发中的应用","authors":"I. Singh, Jaswinder Kaur, Sukhanpreet Kaur, B. Barik, R. Pahwa","doi":"10.1590/1678-4324-2023210769","DOIUrl":null,"url":null,"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.","PeriodicalId":9169,"journal":{"name":"Brazilian Archives of Biology and Technology","volume":"37 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Artificial Neural Networks and Neuro-Fuzzy Models: Applications in Pharmaceutical Product Development\",\"authors\":\"I. Singh, Jaswinder Kaur, Sukhanpreet Kaur, B. Barik, R. Pahwa\",\"doi\":\"10.1590/1678-4324-2023210769\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":9169,\"journal\":{\"name\":\"Brazilian Archives of Biology and Technology\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2023-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brazilian Archives of Biology and Technology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1590/1678-4324-2023210769\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Archives of Biology and Technology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1590/1678-4324-2023210769","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
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.