This chapter presents a review of the possible applications of methods based on neural computing in pharmaceutical products and process development. Some of the methods described are used for classification purposes, whereas others can be applied to modeling and optimization, or even induction of rules. Basic concepts of each method are theoretically described, followed by examples of their application in pharmaceutical technology. A theoretical background aims to provide a better understanding of the methods and is based upon their most important features. Examples should encourage the reader to embrace the above-mentioned methods and use them to complement conventional statistical methods for classification and regression.
TY - CHAP
AU - Đuriš, Jelena
AU - Ibrić, Svetlana
AU - Đurić, Zorica
PY - 2013
UR - http://farfar.pharmacy.bg.ac.rs/handle/123456789/2024
AB - This chapter presents a review of the possible applications of methods based on neural computing in pharmaceutical products and process development. Some of the methods described are used for classification purposes, whereas others can be applied to modeling and optimization, or even induction of rules. Basic concepts of each method are theoretically described, followed by examples of their application in pharmaceutical technology. A theoretical background aims to provide a better understanding of the methods and is based upon their most important features. Examples should encourage the reader to embrace the above-mentioned methods and use them to complement conventional statistical methods for classification and regression.
PB - Elsevier Inc.
T2 - Computer-Aided Applications in Pharmaceutical Technology
T1 - Neural computing in pharmaceutical products and process development
SP - 91
EP - 175
DO - 10.1016/B978-1-907568-27-5.50005-6
ER -
@article{
author = "Đuriš, Jelena and Ibrić, Svetlana and Đurić, Zorica",
year = "2013",
url = "http://farfar.pharmacy.bg.ac.rs/handle/123456789/2024",
abstract = "This chapter presents a review of the possible applications of methods based on neural computing in pharmaceutical products and process development. Some of the methods described are used for classification purposes, whereas others can be applied to modeling and optimization, or even induction of rules. Basic concepts of each method are theoretically described, followed by examples of their application in pharmaceutical technology. A theoretical background aims to provide a better understanding of the methods and is based upon their most important features. Examples should encourage the reader to embrace the above-mentioned methods and use them to complement conventional statistical methods for classification and regression.",
publisher = "Elsevier Inc.",
journal = "Computer-Aided Applications in Pharmaceutical Technology",
title = "Neural computing in pharmaceutical products and process development",
pages = "91-175",
doi = "10.1016/B978-1-907568-27-5.50005-6"
}
Đuriš, J., Ibrić, S.,& Đurić, Z. (2013). Neural computing in pharmaceutical products and process development.
Computer-Aided Applications in Pharmaceutical Technology
Elsevier Inc.., 91-175.
https://doi.org/10.1016/B978-1-907568-27-5.50005-6
Đuriš J, Ibrić S, Đurić Z. Neural computing in pharmaceutical products and process development. Computer-Aided Applications in Pharmaceutical Technology. 2013;:91-175
Đuriš Jelena, Ibrić Svetlana, Đurić Zorica, "Neural computing in pharmaceutical products and process development" Computer-Aided Applications in Pharmaceutical Technology (2013):91-175,
https://doi.org/10.1016/B978-1-907568-27-5.50005-6 .
