東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Incorporating nature-inspired paradi...

Khosrow-Pour, Mehdi, (1951-)

Linked to FindBook

Google Book

Amazon

博客來

Incorporating nature-inspired paradigms in computational applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Incorporating nature-inspired paradigms in computational applications/ Mehdi Khosrow-Pour, editor.
other author:	Khosrow-Pour, Mehdi,
Published:	Hershey, Pennsylvania :IGI Global, : [2018],
Description:	1 online resource (xiii, 385 p.)
[NT 15003449]:	Chapter 1. Application of natural-inspired paradigms on system identification: exploring the multivariable linear time variant case -- Chapter 2. Comprehensive learning particle swarm optimization for structural system identification -- Chapter 3. Finding optimal input values for desired target output by using particle swarm optimization algorithm within probabilistic models -- Chapter 4. Multi-thresholded histogram equalization based on parameterless artificial bee colony -- Chapter 5. Biogeographic computation as information processing in ecosystems -- Chapter 6. Evolutionary approaches to test data generation for object-oriented software: overview of techniques and tools -- Chapter 7. Evolutionary control systems -- Chapter 8. Cloud approach for the medical information system: MIS on cloud.
Subject:	Natural computation. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5020-4
ISBN:	9781522550211 (ebook)

Incorporating nature-inspired paradigms in computational applications
Incorporating nature-inspired paradigms in computational applications[electronic resource] /Mehdi Khosrow-Pour, editor. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xiii, 385 p.)

Includes bibliographical references and index.

Chapter 1. Application of natural-inspired paradigms on system identification: exploring the multivariable linear time variant case -- Chapter 2. Comprehensive learning particle swarm optimization for structural system identification -- Chapter 3. Finding optimal input values for desired target output by using particle swarm optimization algorithm within probabilistic models -- Chapter 4. Multi-thresholded histogram equalization based on parameterless artificial bee colony -- Chapter 5. Biogeographic computation as information processing in ecosystems -- Chapter 6. Evolutionary approaches to test data generation for object-oriented software: overview of techniques and tools -- Chapter 7. Evolutionary control systems -- Chapter 8. Cloud approach for the medical information system: MIS on cloud.

Restricted to subscribers or individual electronic text purchasers.

"This book provides a comprehensive view of all aspects of natural computing with emphasis on its main branches. It explores all main areas of natural computing, namely, nature-inspired computing, methods to computationally synthesize natural phenomena, and novel computing paradigms based on natural materials"--

ISBN: 9781522550211 (ebook)Subjects--Topical Terms:

1002233
Natural computation.

LC Class. No.: QA76.9.N37 / I53 2018e

Dewey Class. No.: 006.3/8

Incorporating nature-inspired paradigms in computational applications
LDR:02126nmm a2200277 a 4500 001 2137971
003 IGIG
005 20181030093213.0
006 m o d
007 cr cn
008 181117s2018 pau fob 001 0 eng d
010 $z 2017034167
020 $a 9781522550211 (ebook)
020 $a 9781522550204 (hardcover)
035 $a (OCoLC)1028721027
035 $a 1071025342
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 4 $a QA76.9.N37 $b I53 2018e
082 0 4 $a 006.3/8 $2 23
245 0 0 $a Incorporating nature-inspired paradigms in computational applications $h [electronic resource] / $c Mehdi Khosrow-Pour, editor.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xiii, 385 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Application of natural-inspired paradigms on system identification: exploring the multivariable linear time variant case -- Chapter 2. Comprehensive learning particle swarm optimization for structural system identification -- Chapter 3. Finding optimal input values for desired target output by using particle swarm optimization algorithm within probabilistic models -- Chapter 4. Multi-thresholded histogram equalization based on parameterless artificial bee colony -- Chapter 5. Biogeographic computation as information processing in ecosystems -- Chapter 6. Evolutionary approaches to test data generation for object-oriented software: overview of techniques and tools -- Chapter 7. Evolutionary control systems -- Chapter 8. Cloud approach for the medical information system: MIS on cloud.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book provides a comprehensive view of all aspects of natural computing with emphasis on its main branches. It explores all main areas of natural computing, namely, nature-inspired computing, methods to computationally synthesize natural phenomena, and novel computing paradigms based on natural materials"-- $c Provided by publisher.
650 0 $a Natural computation. $3 1002233
650 0 $a Bionics. $3 1085978
700 1 $a Khosrow-Pour, Mehdi, $d 1951- $e editor. $3 3310649
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5020-4