机读格式显示(MARC)

• 000 01937cam a2200397 i 4500

• 001 0000842949

• 005 20250922221800.0

• 008 220820s2023 flua b 001 0 eng

• 010 __ |a 2022025614

• 018 __ |a A000047

• 020 __ |a 9781032273372 |q hardback

• 020 __ |a 9781032273433 |q paperback

• 020 __ |z 9781003292333 |q ebook

• 040 __ |a LBSOR/DLC |b eng |e rda |c DLC

• 042 __ |a pcc

• 050 00 |a TP248.65.E59 |b O67 2023

• 082 00 |a 628 |2 23/eng/20220830

• 090 __ |a Q814/X1

• 093 __ |a Q814 |2 5

• 245 00 |a Optimization of sustainable enzymes production : |b artificial intelligence and machine learning techniques / |c edited by J. Satya Eswari, Nisha Suryawanshi.

• 250 __ |a First edition.

• 260 __ |a Boca Raton : |b CRC Press, Taylor & Francis Group, |c 2023.

• 300 __ |a xii, 220 pages : |b illustrations ; |c 24 cm

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 500 __ |a "A Chapman & Hall book".

• 504 __ |a Includes bibliographical references and index.

• 520 __ |a "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"-- |c Provided by publisher.

• 650 _0 |a Enzymes |x Biotechnology.

• 650 _0 |a Sustainable engineering.

• 650 _0 |a Mathematical optimization.

• 650 _0 |a Artificial intelligence |x Industrial applications.

• 650 _0 |a Machine learning |x Industrial applications.

• 700 1_ |a Jujjavarapu, Satya Eswari, |e editor.

• 700 1_ |a Suryawanshi, Nisha, |e editor.