國立虎尾科技大學 |

Soft Computing in Interdisciplinary Sciences

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Soft Computing in Interdisciplinary Sciences/ edited by S. Chakraverty.
其他作者:	Chakraverty, S.
面頁冊數:	XIII, 257 p. 113 illus., 70 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer Engineering and Networks. -
電子資源:	https://doi.org/10.1007/978-981-16-4713-0
ISBN:	9789811647130

Soft Computing in Interdisciplinary Sciences
Soft Computing in Interdisciplinary Sciences[electronic resource] /edited by S. Chakraverty. - 1st ed. 2022. - XIII, 257 p. 113 illus., 70 illus. in color.online resource. - Studies in Computational Intelligence,9881860-9503 ;. - Studies in Computational Intelligence,564.

Chapter 1. Recent Trends in Interval Regression: Applications in Predicting Dengue Outbreaks -- Chapter 2. Fuzzy-Affine Approach in Dynamic Analysis of Uncertain Structural Systems -- Chapter 3. Fuzzy Application: Develop a Weather Index -- Chapter 4. Type-2 Fuzzy Linear Eigenvalue Problems with Application in Dynamic Structures -- Chapter 5. Fuzzy dynamical system in alcohol related health risk behaviors and beliefs -- Chapter 6. Curriculum Learning Based Artificial Neural Network Model for Solving Differential Equations -- Chapter 7. Analysis of EEG signal for drowsy detection: A machine learning approach -- Chapter 8. Uncertain Structural Parameter Identification by Intelligent Neural Training -- Chapter 9. Soft-Computing Tools embedded on Internet-of-Things can enhance Cyber Security -- Chapter 10. Security issues on IoT communication and evolving solutions -- Chapter 11. Causality and Its Applications -- Chapter 12. Hybrid Evolutionary Computing based Association Rule Mining -- Chapter 13. Towards Sarcasm Detection n Reviews - A dual parametric approach with Emojis and Ratings.

This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations. Interdisciplinary sciences include various challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book. This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.

ISBN: 9789811647130

Standard No.: 10.1007/978-981-16-4713-0doiSubjects--Topical Terms:

1365733
Computer Engineering and Networks.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Soft Computing in Interdisciplinary Sciences
LDR:04205nam a22004095i 4500 001 1090465
003 DE-He213
005 20220502123558.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811647130 $9 978-981-16-4713-0
024 7 $a 10.1007/978-981-16-4713-0 $2 doi
035 $a 978-981-16-4713-0
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Soft Computing in Interdisciplinary Sciences $h [electronic resource] / $c edited by S. Chakraverty.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a XIII, 257 p. 113 illus., 70 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Computational Intelligence, $x 1860-9503 ; $v 988
505 0 $a Chapter 1. Recent Trends in Interval Regression: Applications in Predicting Dengue Outbreaks -- Chapter 2. Fuzzy-Affine Approach in Dynamic Analysis of Uncertain Structural Systems -- Chapter 3. Fuzzy Application: Develop a Weather Index -- Chapter 4. Type-2 Fuzzy Linear Eigenvalue Problems with Application in Dynamic Structures -- Chapter 5. Fuzzy dynamical system in alcohol related health risk behaviors and beliefs -- Chapter 6. Curriculum Learning Based Artificial Neural Network Model for Solving Differential Equations -- Chapter 7. Analysis of EEG signal for drowsy detection: A machine learning approach -- Chapter 8. Uncertain Structural Parameter Identification by Intelligent Neural Training -- Chapter 9. Soft-Computing Tools embedded on Internet-of-Things can enhance Cyber Security -- Chapter 10. Security issues on IoT communication and evolving solutions -- Chapter 11. Causality and Its Applications -- Chapter 12. Hybrid Evolutionary Computing based Association Rule Mining -- Chapter 13. Towards Sarcasm Detection n Reviews - A dual parametric approach with Emojis and Ratings.
520 $a This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations. Interdisciplinary sciences include various challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book. This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.
650 2 4 $a Computer Engineering and Networks. $3 1365733
650 2 4 $a Machine Learning. $3 1137723
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Computer networks . $3 1365720
650 0 $a Computer engineering. $3 569006
650 0 $a Algorithms. $3 527865
650 0 $a Machine learning. $3 561253
650 0 $a Computational intelligence. $3 568984
700 1 $a Chakraverty, S. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1319864
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811647123
776 0 8 $i Printed edition: $z 9789811647147
776 0 8 $i Printed edition: $z 9789811647154
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-981-16-4713-0
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)