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Optimization of Sustainable Enzymes Production

- Artificial Intelligence and Machine Learning Techniques
Engelsk Hardback

Optimization of Sustainable Enzymes Production

- Artificial Intelligence and Machine Learning Techniques
Engelsk Hardback
Tjek vores konkurrenters priser

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.

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Tjek vores konkurrenters priser
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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.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 220
ISBN-13: 9781032273372
Indbinding: Hardback
Udgave:
ISBN-10: 1032273372
Kategori: Automatisk styrings- & reguleringsteknik
Udg. Dato: 29 nov 2022
Længde: 22mm
Bredde: 241mm
Højde: 137mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 29 nov 2022
Forfatter(e):
Forfatter(e)

Kategori Automatisk styrings- & reguleringsteknik

ISBN-13 9781032273372

Sprog Engelsk

Indbinding Hardback

Sider 220

Udgave

Længde 22mm

Bredde 241mm

Højde 137mm

Udg. Dato 29 nov 2022

Oplagsdato 29 nov 2022

Forlag Taylor & Francis Ltd

Kategori sammenhænge