Optimization of sustainable enzymes production : artificial intelligence and machine learning techniques /
Optimization of sustainable enzymes production : artificial intelligence and machine learning techniques /
edited by J. Satya Eswari, Nisha Suryawanshi.
- First edition.
- 1 online resource
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.
"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"--
9781003292333 100329233X 9781000787726 1000787729 9781000787757 1000787753
10.1201/9781003292333 doi
Enzymes--Biotechnology.
Sustainable engineering.
Mathematical optimization.
Artificial intelligence--Industrial applications.
Machine learning--Industrial applications.
COMPUTERS / Computer Simulation
COMPUTERS / Computer Science
TP248.65.E59
628
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.
"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"--
9781003292333 100329233X 9781000787726 1000787729 9781000787757 1000787753
10.1201/9781003292333 doi
Enzymes--Biotechnology.
Sustainable engineering.
Mathematical optimization.
Artificial intelligence--Industrial applications.
Machine learning--Industrial applications.
COMPUTERS / Computer Simulation
COMPUTERS / Computer Science
TP248.65.E59
628
