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Online Public Access Catalogue

题名/责任者:

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

版本说明:

First edition.

出版发行项:

Boca Raton : CRC Press, Taylor & Francis Group, 2023.

ISBN:

9781032273372

ISBN:

9781032273433

载体形态项:

xii, 220 pages : illustrations ; 24 cm

附加个人名称:

Jujjavarapu, Satya Eswari, editor.

附加个人名称:

Suryawanshi, Nisha, editor.

论题主题:

Enzymes-Biotechnology.

论题主题:

Sustainable engineering.

论题主题:

Mathematical optimization.

论题主题:

Artificial intelligence-Industrial applications.

论题主题:

Machine learning-Industrial applications.

中图法分类号:

Q814

一般附注:

"A Chapman & Hall book".

书目附注:

Includes bibliographical references and index.

摘要附注:

"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"--

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