Optimization of sustainable enzymes production artificial intelligence and machine learning techniques / edited by J. Satya Eswari, Nisha Suryawanshi.

Other author Jujjavarapu, Satya Eswari.
Other author Suryawanshi, Nisha.
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : Chapman & Hall/CRC Press, 2023.
Descriptionpages cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Contents Industrially important enzymes / A.V. Narasimha Swamy -- Applications of Industrially important enzymes / Monalisa Padhan and Sushri Priyadarshini Panda -- Optimization of fermentation process : influence on industrial production of enzymes / Ajay Nair, Archana S. Rao, Veena S.M., Uday Muddapur, Anantharaju K.S, Sunil S. More -- Reforming process optimization of enzyme production using artificial intelligence and machine learning / Rajeev Kumara, Ajay Nair, Archana S. Rao, Veena S.M., Uday Muddapur, Anantharaju K.S, Sunil S. More -- Scale-up models for chitinase production, enzyme kinetics, and optimization / Atheena P.V., Keyur Raval, Ritu Raval -- Genetic algorithm for optimization of fermentation process of various enzyme production / Karan Kumara, Heena Shah and Vijayanand S. Moholkar -- Optimization of process parameter of various classes of enzymes using artificial neural network / Rajeev Kumar, Veena S. More, Sowmya C., Ajay Nair, Archana Rao, Uday Muddapur, Anantharaju K.S, Sunil S. Morea -- Advanced evolutionary differential evolution and central composite design : comparative study for process optimization of chitinase production / Nisha Suryawanshi and J. Satya Eswari -- Artificial bee colony for optimization of process parameters for various enzyme productions / Dheeraj Shootha, Pooja Thathola, Khashti Dasila.
Abstract "This book is designed as a reference book and presents a systematic approach to analyze evolutionary and nature-inspired population-based search algorithms. Beginning with an introduction to optimization methods and algorithms and various enzymes, the book then moves on to provide a unified framework of process optimization for enzymes with various algorithms. The book presents current research on various applications of machine learning and discusses optimization techniques to solve real-life problems"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2022025614
ISBN9781032273372 (hardback)
ISBN9781032273433 (paperback)
ISBN(ebook)

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Electronic Resources ✔ Available