Computational Intelligence Modeling Pharmaceutical by Zawbaa Hossam (6 results)

Paperback. Condition: Brand New. 200 pages. 8.66x5.91x0.46 inches. In Stock.

Taschenbuch. Condition: Neu. Computational Intelligence Modeling of Pharmaceutical Roll Compaction | Bio-inspired optimization algorithms for feature selection | Hossam M. Zawbaa | Taschenbuch | 200 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659908255 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this study, I have developed new variants of bio-inspired optimization algorithms such as chaotic antlion optimization (CALO), binary grey wolf optimization (BGWO), and much more. With the big data captured in the pharmaceutical product development practice, computational intelligence (CI) models based on machine learning and bio-inspired optimization algorithms could potentially be used to identify critical quality attributes (CQA) and critical process parameters (CPP) for the formulations and manufacturing processes. The primary objective is to evaluate the robustness of machine learning techniques combined with bio-inspired optimization algorithms in modeling tablet manufacturing processes. More precisely, our effort is focused on the prediction of tablet properties such as porosity and tensile strength from powder and ribbons characteristics. 200 pp. Englisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this study, I have developed new variants of bio-inspired optimization algorithms such as chaotic antlion optimization (CALO), binary grey wolf optimization (BGWO), and much more. With the big data captured in the pharmaceutical product development practice, computational intelligence (CI) models based on machine learning and bio-inspired optimization algorithms could potentially be used to identify critical quality attributes (CQA) and critical process parameters (CPP) for the formulations and manufacturing processes. The primary objective is to evaluate the robustness of machine learning techniques combined with bio-inspired optimization algorithms in modeling tablet manufacturing processes. More precisely, our effort is focused on the prediction of tablet properties such as porosity and tensile strength from powder and ribbons characteristics.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zawbaa Hossam M.Hossam M. Zawbaa is a Lecturer at Faculty of Computers and Information, Beni-Suef University, Egypt. His research interests are in the area of Computational Intelligence, Machine Learning, Image Processing, and Patter.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this study, I have developed new variants of bio-inspired optimization algorithms such as chaotic antlion optimization (CALO), binary grey wolf optimization (BGWO), and much more. With the big data captured in the pharmaceutical product development practice, computational intelligence (CI) models based on machine learning and bio-inspired optimization algorithms could potentially be used to identify critical quality attributes (CQA) and critical process parameters (CPP) for the formulations and manufacturing processes. The primary objective is to evaluate the robustness of machine learning techniques combined with bio-inspired optimization algorithms in modeling tablet manufacturing processes. More precisely, our effort is focused on the prediction of tablet properties such as porosity and tensile strength from powder and ribbons characteristics.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch.…