Tuning Innovation with Biotechnology (Record no. 128963)

000 -LEADER
fixed length control field 02285cam a2200397Ii 4500
001 - CONTROL NUMBER
control field 9781315364582
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180706s2016 xx a o 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781315364582
-- (e-book : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781315321943
-- (e-book: Mobi)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9789814745352
-- (hardback)
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1201/9781315364582
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)990153652
040 ## - CATALOGING SOURCE
Original cataloging agency FlBoTFG
Transcribing agency FlBoTFG
Description conventions rda
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TP248.2
Item number K563 2016
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 660.6
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kim, Dong Hwa,
Relator term author.
245 10 - TITLE STATEMENT
Title Tuning Innovation with Biotechnology
250 ## - EDITION STATEMENT
Edition statement First edition.
264 #1 -
-- Pan Stanford Publishing,
-- 2016.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource
336 ## -
-- text
-- rdacontent
337 ## -
-- computer
-- rdamedia
338 ## -
-- online resource
-- rdacarrier
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note chapter 1 Background -- chapter 2 Artificial Immune Algorithm–Based Intelligent Parameter Estimation -- chapter 3 Intelligent System Tuning Using a Hybrid GA-PSO Approach -- chapter 4 Intelligent Vector Control Using a Hybrid GA-PSO System -- chapter 5 Intelligent Tuning Using Hybrid System of GA and BF -- chapter 6 Artificial Intelligence, Emotion Function, and ICT -- chapter 7 Hybrid System by AINFS and AINFNNS for Robust Control of Nonlinear System.
520 2# - SUMMARY, ETC.
Summary, etc "This book deals with evolving intelligence systems and their use in immune algorithm (IM), particle swarm optimization (PSO), bacterial foraging (BF), and hybrid intelligent system to improve plants, robots, etc. It discusses the motivation behind research on and background of evolving intelligence systems and illustrates IM-based approach for parameter estimation required for designing an intelligent system. It approaches optimal intelligent tuning using a hybrid genetic algorithm"particle swarm optimization (GA-PSO) and illustrates hybrid GA-PSO for intelligent tuning of vector system. "--Provided by publisher.
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biotechnology.
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Biopharmaceutics
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Nanoscience & Nanotechnology
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element NANOnetBASE
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element PHARMACEUTICALnetBASE
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element BIOSCIENCEnetBASE
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SCI-TECHnetBASE
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element BIOMEDICALSCIENCEnetBASE
650 04 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element STMnetBASE
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
International Standard Book Number 9789814745352
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.taylorfrancis.com/books/9789814745369
Public note Click here to view.

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