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Learning Automata and Their Applications to Intelligent Systems (Record no. 67045)

MARC details
000 -LEADER
fixed length control field 03828nam a22003854u 4500
001 - CONTROL NUMBER
control field 10.1002/9781394188536
003 - CONTROL NUMBER IDENTIFIER
control field Wiley
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251030120310.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mam|a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231117t2023||||xxu fs| |0|| 0|eng||
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394188536
Qualifying information electronic
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781394188536
Source of number or code doi
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Zhang, JunQi
Relator code aut
9 (RLIN) 91698
245 10 - TITLE STATEMENT
Title Learning Automata and Their Applications to Intelligent Systems
Medium [electronic resource]
Statement of responsibility, etc. JunQi Zhang, MengChu Zhou
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - Date publicare
Name of publisher, distributor, etc. Wiley
Date of publication, distribution, etc. 2023
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Wiley
Date of production, publication, distribution, manufacture, or copyright notice 2023
300 ## - PHYSICAL DESCRIPTION
Extent 272pp.;
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
Source rdaft
347 ## - DIGITAL FILE CHARACTERISTICS
Encoding format PDF
520 ## - SUMMARY, ETC.
Summary, etc. Comprehensive guide on learning automata, introducing two variants to accelerate convergence and computational update speed Learning Automata and Their Applications to Intelligent Systems provides a comprehensive guide on learning automata from the perspective of principles, algorithms, improvement directions, and applications. The text introduces two variants to accelerate the convergence speed and computational update speed, respectively; these two examples demonstrate how to design new learning automata for a specific field from the aspect of algorithm design to give full play to the advantage of learning automata. As noisy optimization problems exist widely in various intelligent systems, this book elaborates on how to employ learning automata to solve noisy optimization problems from the perspective of algorithm design and application. The existing and most representative applications of learning automata include classification, clustering, game, knapsack, network, optimization, ranking, and scheduling. They are well-discussed. Future research directions to promote an intelligent system are suggested. Written by two highly qualified academics with significant experience in the field, Learning Automata and Their Applications to Intelligent Systems covers such topics as: Mathematical analysis of the behavior of learning automata, along with suitable learning algorithms Two application-oriented learning automata: one to discover and track spatiotemporal event patterns, and the other to solve stochastic searching on a line Demonstrations of two pioneering variants of Optimal Computing Budge Allocation (OCBA) methods and how to combine learning automata with ordinal optimization How to achieve significantly faster convergence and higher accuracy than classical pursuit schemes via lower computational complexity of updating the state probability A timely text in a rapidly developing field, Learning Automata and Their Applications to Intelligent Systems is an essential resource for researchers in machine learning, engineering, operation, and management. The book is also highly suitable for graduate level courses on machine learning, soft computing, reinforcement learning and stochastic optimization.
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element
9 (RLIN) 58441
653 00 - INDEX TERM--UNCONTROLLED
Uncontrolled term Learning automata; reinforcement learning; artificial intelligence; machine learning; machine intelligence; learning algorithms; Machine Learning; Soft Computing; Reinforcement Learning; Real-time Stochastic Optimization
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zhou, MengChu
Relator code aut
9 (RLIN) 67265
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781394188499
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1002/9781394188536">https://doi.org/10.1002/9781394188536</a>
Host name Wiley Online Library
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394188536">https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394188536</a>
Host name Wiley Online Library
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Cover Image
Uniform Resource Identifier <a href="https://onlinelibrary.wiley.com/cms/asset/34fd74fe-1d78-42e6-8d83-60dd3e3f90e6/9781394188536.cover.gif">https://onlinelibrary.wiley.com/cms/asset/34fd74fe-1d78-42e6-8d83-60dd3e3f90e6/9781394188536.cover.gif</a>
Host name Wiley Online Library

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