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Neural computing in pharmaceutical products and process development

Authorized Users Only
2013
Authors
Đuriš, Jelena
Ibrić, Svetlana
Đurić, Zorica
Book part (Published version)
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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.
Keywords:
Artificial neural networks / Decision trees / Evolutionary computing and genetic algorithms / Fuzzy logic / Neural computing / Self-organizing maps
Source:
Computer-Aided Applications in Pharmaceutical Technology, 2013, 91-175
Publisher:
  • Elsevier Inc.

DOI: 10.1016/B978-1-907568-27-5.50005-6

Scopus: 2-s2.0-84904149719
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URI
http://farfar.pharmacy.bg.ac.rs/handle/123456789/2024
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  • Radovi istraživača / Researchers’ publications
Institution
Pharmacy

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