國立高雄大學圖資館 |

Language: English

Back

Artificial intelligence technologies for computational biology

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence technologies for computational biologyedited by Ranjeet Kumar Rout ... [et al.]
other author:	Rout, Ranjeet Kumar.
Published:	Boca Raton, FL :CRC Press,2023.
Description:	1 online resource.
Subject:	Artificial intelligenceBiological applications.
Online resource:	https://www.taylorfrancis.com/books/9781003246688
ISBN:	9781003246688$q(electronic bk.)

Artificial intelligence technologies for computational biology
Artificial intelligence technologies for computational biology[electronic resource] /edited by Ranjeet Kumar Rout ... [et al.] - 1st ed. - Boca Raton, FL :CRC Press,2023. - 1 online resource.

Includes bibliographical references and index.

"This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. Presents the application of evolutionary computations for fractal visualization of sequence data. Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. Examines the roles of efficient computational techniques in biology"--

ISBN: 9781003246688$q(electronic bk.)

LCCN: 2022022590Subjects--Topical Terms:

238843
Artificial intelligence
--Biological applications.

LC Class. No.: QH324.25

Dewey Class. No.: 570.285

Artificial intelligence technologies for computational biology
LDR:02292cmm a2200277 a 4500 001 663950
005 20240923072503.0
006 m o d
007 cr cnu---unuuu
008 241219s2023 flu ob 001 0 eng
010 $a 2022022590
020 $a 9781003246688$q(electronic bk.)
020 $z 9781032160023$q(paperback)
020 $z 9781032160009$q(hardback)
035 $a 22742101
040 $a DLC $b eng $c DLC $d DLC
041 0 $a eng
050 0 0 $a QH324.25
082 0 0 $a 570.285 $2 23
245 0 0 $a Artificial intelligence technologies for computational biology $h [electronic resource] / $c edited by Ranjeet Kumar Rout ... [et al.]
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2023.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
520 $a "This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. Presents the application of evolutionary computations for fractal visualization of sequence data. Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. Examines the roles of efficient computational techniques in biology"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher.
650 0 $a Artificial intelligence $x Biological applications. $3 238843
650 0 $a Computational biology $x Data processing. $3 976494
700 1 $a Rout, Ranjeet Kumar. $3 976493
856 4 0 $u https://www.taylorfrancis.com/books/9781003246688