Optimization of Sustainable Enzymes Production

图书简介

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.•The book compiles the different machine learning models for optimization of process parameters for production of industrially important enzymes. The production and optimization of various enzymes produced by different microorganisms are elaborated in the book.•It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making.•Covers the best-performing methods and approaches for optimization sustainable enzymes production with AI integration in a real-time environment.•Featuring valuable insights, the book helps readers explore new avenues leading towards multidisciplinary research discussions.The book is aimed primarily at advanced undergraduates and graduates studying machine learning, data science and industrial biotechnology. Researchers and professionals will also find this book useful.

Preface..................................................................................................................... viiEditors.......................................................................................................................ixContributors.............................................................................................................xi 1. Industrially Important Enzymes...................................................................1 A. V. Narasimha Swamy 2. Applications of Industrially Important Enzymes...................................19 Monalisa Padhan and Sushri Priyadarshini Panda 3. Optimization of Fermentation Process: Influence on Industrial Production of Enzymes.................................................................................53 Ajay Nair, Archana S. Rao, S. M. Veena, Uday Muddapur, K. S. Anantharaju, and Sunil S. More 4. Reforming Process Optimization of Enzyme Production Using Artificial Intelligence and Machine Learning..........................................75 Rajeev Kumar, Ajay Nair, Archana S. Rao, S. M. Veena, Uday Muddapur, K. S. Anantharaju, and Sunil S. More 5. Scale-Up Models for Chitinase Production, Enzyme Kinetics, and Optimization...........................................................................................99 P. V. Atheena, Keyur Raval, and Ritu Raval 6. Genetic Algorithm for Optimization of Fermentation Processes of Various Enzyme Productions..............................................121 Karan Kumar, Heena Shah, and Vijayanand S. Moholkar 7. Optimization of Process Parameters of Various Classes of Enzymes Using Artificial Neural Network........................................145 Rajeev Kumar, S. M

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Optimization of Sustainable Enzymes Production 可持续酶生产的优化：人工智能与机器学习技术 人工智能

Optimization of Sustainable Enzymes Production

可持续酶生产的优化：人工智能与机器学习技术
人工智能