東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Nature-inspired intelligent techniqu...

Kose, Utku, (1985-)

Linked to FindBook

Google Book

Amazon

博客來

Nature-inspired intelligent techniques for solving biomedical engineering problems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Nature-inspired intelligent techniques for solving biomedical engineering problems/ Utku Kose, Gur Emre Guraksin, and Omer Deperlioglu, editors.
other author:	Kose, Utku,
Published:	Hershey, Pennsylvania :IGI Global, : [2018],
Description:	1 online resource (xxx, 381 p.)
[NT 15003449]:	Chapter 1. Towards an intelligent biomedical engineering with nature-inspired artificial intelligence techniques -- Chapter 2. Coupling of optimization algorithms based on swarm intelligence: an application for control of heroin addiction epidemic -- Chapter 3. Intelligent techniques inspired by nature and used in biomedical engineering -- Chapter 4. Performance of negative selection algorithms in patient detection and classification -- Chapter 5. Differential diagnosis of erythematous squamous diseases with feature selection and classification algorithms -- Chapter 6. A general medical diagnosis system formed by artificial neural networks and swarm intelligence techniques -- Chapter 7. Artificial intelligence applications on classification of heart sounds -- Chapter 8. A sample application for computer-based bacteria counting by using watershed transform -- Chapter 9. Diabetes diagnosis system based on support vector machines trained by vortex optimization algorithm -- Chapter 10. Artificial intelligence ethics in biomedical-engineering-oriented problems -- Chapter 11. Prediction of electroencephalogram time series via artificial neuro-fuzzy inference system trained by league championship algorithm -- Chapter 12. Determining headache diseases with genetic algorithm -- Chapter 13. Internet of things and nature-inspired intelligent techniques for the future of biomedical engineering -- Chapter 14. Deep learning and biomedical engineering -- Chapter 15. Intelligent biomedical engineering operations by cloud computing technologies.
Subject:	Biomedical engineering. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4769-3
ISBN:	9781522547709 (ebook)

Nature-inspired intelligent techniques for solving biomedical engineering problems
Nature-inspired intelligent techniques for solving biomedical engineering problems[electronic resource] /Utku Kose, Gur Emre Guraksin, and Omer Deperlioglu, editors. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xxx, 381 p.)

Includes bibliographical references and index.

Chapter 1. Towards an intelligent biomedical engineering with nature-inspired artificial intelligence techniques -- Chapter 2. Coupling of optimization algorithms based on swarm intelligence: an application for control of heroin addiction epidemic -- Chapter 3. Intelligent techniques inspired by nature and used in biomedical engineering -- Chapter 4. Performance of negative selection algorithms in patient detection and classification -- Chapter 5. Differential diagnosis of erythematous squamous diseases with feature selection and classification algorithms -- Chapter 6. A general medical diagnosis system formed by artificial neural networks and swarm intelligence techniques -- Chapter 7. Artificial intelligence applications on classification of heart sounds -- Chapter 8. A sample application for computer-based bacteria counting by using watershed transform -- Chapter 9. Diabetes diagnosis system based on support vector machines trained by vortex optimization algorithm -- Chapter 10. Artificial intelligence ethics in biomedical-engineering-oriented problems -- Chapter 11. Prediction of electroencephalogram time series via artificial neuro-fuzzy inference system trained by league championship algorithm -- Chapter 12. Determining headache diseases with genetic algorithm -- Chapter 13. Internet of things and nature-inspired intelligent techniques for the future of biomedical engineering -- Chapter 14. Deep learning and biomedical engineering -- Chapter 15. Intelligent biomedical engineering operations by cloud computing technologies.

Restricted to subscribers or individual electronic text purchasers.

"This book provides a general view on applications of nature-inspired techniques (artificial intelligence) in biomedical engineering problems, discusses the potentials of the artificial intelligence field from this perspective, and finally improves awareness on the power of artificial intelligence and nature-inspired techniques on ensuring effective and efficient solutions for encountered biomedical engineering based problems"--Provided by publisher.

ISBN: 9781522547709 (ebook)Subjects--Topical Terms:

535387
Biomedical engineering.

LC Class. No.: R857.M3 / N38 2018e

Dewey Class. No.: 610.28

National Library of Medicine Call No.: QT 36 / .N38 2018e

Nature-inspired intelligent techniques for solving biomedical engineering problems
LDR:03069nmm a2200289 a 4500 001 2137932
003 IGIG
005 20181030101605.0
006 m o d
007 cr cn
008 181117s2018 pau fob 001 0 eng d
010 $z 2017032791
020 $a 9781522547709 (ebook)
020 $a 9781522547693 (hardcover)
035 $a (OCoLC)1028074827
035 $a 1071025302
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 4 $a R857.M3 $b N38 2018e
060 1 0 $a QT 36 $b .N38 2018e
082 0 4 $a 610.28 $2 23
245 0 0 $a Nature-inspired intelligent techniques for solving biomedical engineering problems $h [electronic resource] / $c Utku Kose, Gur Emre Guraksin, and Omer Deperlioglu, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xxx, 381 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Towards an intelligent biomedical engineering with nature-inspired artificial intelligence techniques -- Chapter 2. Coupling of optimization algorithms based on swarm intelligence: an application for control of heroin addiction epidemic -- Chapter 3. Intelligent techniques inspired by nature and used in biomedical engineering -- Chapter 4. Performance of negative selection algorithms in patient detection and classification -- Chapter 5. Differential diagnosis of erythematous squamous diseases with feature selection and classification algorithms -- Chapter 6. A general medical diagnosis system formed by artificial neural networks and swarm intelligence techniques -- Chapter 7. Artificial intelligence applications on classification of heart sounds -- Chapter 8. A sample application for computer-based bacteria counting by using watershed transform -- Chapter 9. Diabetes diagnosis system based on support vector machines trained by vortex optimization algorithm -- Chapter 10. Artificial intelligence ethics in biomedical-engineering-oriented problems -- Chapter 11. Prediction of electroencephalogram time series via artificial neuro-fuzzy inference system trained by league championship algorithm -- Chapter 12. Determining headache diseases with genetic algorithm -- Chapter 13. Internet of things and nature-inspired intelligent techniques for the future of biomedical engineering -- Chapter 14. Deep learning and biomedical engineering -- Chapter 15. Intelligent biomedical engineering operations by cloud computing technologies.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book provides a general view on applications of nature-inspired techniques (artificial intelligence) in biomedical engineering problems, discusses the potentials of the artificial intelligence field from this perspective, and finally improves awareness on the power of artificial intelligence and nature-inspired techniques on ensuring effective and efficient solutions for encountered biomedical engineering based problems"--Provided by publisher.
650 0 $a Biomedical engineering. $3 535387
650 0 $a Artificial intelligence. $3 516317
650 0 $a Bionics. $3 1085978
650 0 $a Biological models. $3 577813
700 1 $a Kose, Utku, $d 1985- $e editor. $3 3310949
700 1 $a Guraksin, Gur Emre, $d 1980- $e editor. $3 3310950
700 1 $a Deperlioglu, Omer, $d 1967- $e editor. $3 3310951
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4769-3