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Nature-inspired intelligent techniques for solving biomedical engineering problems[electronic resource] /

纪录类型:	书目-电子资源 : Monograph/item
[NT 15000414] null:	610.28
[NT 47271] Title/Author:	Nature-inspired intelligent techniques for solving biomedical engineering problems/ Utku Kose, Gur Emre Guraksin, and Omer Deperlioglu, editors.
[NT 51406] other author:	Kose, Utku,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2018]
面页册数:	1 online resource (xxx, 381 p.)
标题:	Biomedical engineering.
标题:	Artificial intelligence.
标题:	Bionics.
标题:	Biological models.
ISBN:	9781522547709 (ebook)
ISBN:	9781522547693 (hardcover)
[NT 15000227] null:	Includes bibliographical references and index.
[NT 15000228] null:	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.
[NT 15000229] null:	"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.
电子资源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-4769-3

Nature-inspired intelligent techniques for solving biomedical engineering problems[electronic resource] /
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:

218538
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[electronic resource] /
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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.
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650 0 $a Bionics. $3 495860
650 0 $a Biological models. $3 417296
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700 1 $a Guraksin, Gur Emre, $d 1980- $e editor. $3 733122
700 1 $a Deperlioglu, Omer, $d 1967- $e editor. $3 733123
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