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Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (Record no. 59325)

MARC details
000 -LEADER
fixed length control field 04647nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-981-99-9718-3
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030112007.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240422s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789819997183
-- 978-981-99-9718-3
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-981-99-9718-3
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5-.7
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQM
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT029000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQM
Source thema
245 10 - TITLE STATEMENT
Title Advanced Machine Learning with Evolutionary and Metaheuristic Techniques
Medium [electronic resource] /
Statement of responsibility, etc. edited by Jayaraman Valadi, Krishna Pratap Singh, Muneendra Ojha, Patrick Siarry.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Singapore :
Name of producer, publisher, distributor, manufacturer Springer Nature Singapore :
-- Imprint: Springer,
Date of production, publication, distribution, manufacture, or copyright notice 2024.
300 ## - PHYSICAL DESCRIPTION
Extent X, 362 p. 1 illus.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Computational Intelligence Methods and Applications,
International Standard Serial Number 2510-1773
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. From Evolution to Intelligence: Exploring the Synergy of Optimization and Machine Learning -- Chapter 2. Metaheuristic and Evolutionary Algorithms in Ex-plainable Artificial Intelligence -- Chapter 3. Evolutionary Dynamic Optimization and Machine Learning -- Chapter 4. Evolutionary Techniques in making Efficient Deep-Learning Framework: A Review -- Chapter 5. Integrating Particle Swarm Optimization with Reinforcement Learning: A Promising Approach to Optimization -- Chapter 6. Synergies between Natural Language Processing and Swarm Intelligence Optimization: A Comprehensive Overview -- Chapter 7. Heuristics-based Hyperparameter Tuning for Transfer Learning Algorithms -- Chapter 8. Machine Learning Applications of Evolutionary and Metaheuristic Algorithms -- Chapter 9. Machine Learning Assisted Metaheuristic Based Optimization of Mixed Suspension Mixed Product Removal Process -- Chapter 10. Machine Learning based Intelligent RPL Attack Detection System for IoT Networks -- Chapter 11. Shallow and Deep Evolutionary Neural Networks applications in Solid Mechanics -- Chapter 12. Polymer and nanocomposite Informatics: Recent Applications of Artificial Intelligence and Data Repositories -- Chapter 13. Synergistic combination of machine learning and evolutionary and heuristic algorithms for handling imbalance in biological and biomedical datasets.
520 ## - SUMMARY, ETC.
Summary, etc. This book delves into practical implementation of evolutionary and metaheuristic algorithms to advance the capacity of machine learning. The readers can gain insight into the capabilities of data-driven evolutionary optimization in materials mechanics, and optimize your learning algorithms for maximum efficiency. Or unlock the strategies behind hyperparameter optimization to enhance your transfer learning algorithms, yielding remarkable outcomes. Or embark on an illuminating journey through evolutionary techniques designed for constructing deep-learning frameworks. The book also introduces an intelligent RPL attack detection system tailored for IoT networks. Explore a promising avenue of optimization by fusing Particle Swarm Optimization with Reinforcement Learning. It uncovers the indispensable role of metaheuristics in supervised machine learning algorithms. Ultimately, this book bridges the realms of evolutionary dynamic optimization and machine learning, paving the way for pioneering innovations in the field.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 55059
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 60693
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 55059
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Valadi, Jayaraman.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 75630
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Singh, Krishna Pratap.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 75631
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ojha, Muneendra.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 75632
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Siarry, Patrick.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
9 (RLIN) 75633
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819997176
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819997190
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9789819997206
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Computational Intelligence Methods and Applications,
International Standard Serial Number 2510-1773
9 (RLIN) 70583
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/978-981-99-9718-3">https://doi.org/10.1007/978-981-99-9718-3</a>
912 ## -
-- ZDB-2-SCS
912 ## -
-- ZDB-2-SXCS

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