國立虎尾科技大學 |

Clustering, classification, and time series prediction by using artificial neural networks

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Clustering, classification, and time series prediction by using artificial neural networks/ by Patricia Melin, Martha Ramirez, Oscar Castillo.
作者:	Melin, Patricia.
其他作者:	Ramirez, Martha.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	viii, 74 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Time-series analysis - Data processing. -
電子資源:	https://doi.org/10.1007/978-3-031-71101-5
ISBN:	9783031711015

Clustering, classification, and time series prediction by using artificial neural networks
Melin, Patricia.

Clustering, classification, and time series prediction by using artificial neural networks[electronic resource] /by Patricia Melin, Martha Ramirez, Oscar Castillo. - Cham :Springer Nature Switzerland :2024. - viii, 74 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computational intelligence. Computational intelligence,2625-3712. - SpringerBriefs in computational intelligence.Computational intelligence..

1. Introduction to Prediction with Neural Networks -- 2. Literature Review on Prediction with Neural Networks -- 3. Problem Description of Prediction with Neural Networks -- 4. Methodology for Prediction with Neural Networks5 -- Results of Prediction with Neural Networks -- 6. Discussion of Prediction Results with Neural Networks -- 7. Conclusions for Prediction with Neural Networks.

This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simulate the behavior of the cognitive functions of the brain is presented. This model focuses on the study of intelligent hybrid neural systems and their use in time series analysis and decision support systems. Therefore, through the development of eight case studies, multiple time series related to the following problems are analyzed: traffic accidents, air quality and multiple global indicators (energy consumption, birth rate, mortality rate, population growth, inflation, unemployment, sustainable development, and quality of life) The main contribution consists of a Generalized Type-2 fuzzy integration of multiple indicators (time series) using both supervised and unsupervised neural networks and a set of Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. The obtained results show the advantages of the proposed model of Generalized Type-2 fuzzy integration of multiple time series attributes. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic techniques for solving problems in classification and prediction. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.

ISBN: 9783031711015

Standard No.: 10.1007/978-3-031-71101-5doiSubjects--Topical Terms:

671213
Time-series analysis
--Data processing.

LC Class. No.: QA280

Dewey Class. No.: 519.55

Clustering, classification, and time series prediction by using artificial neural networks
LDR:02952nam a2200337 a 4500 001 1154848
003 DE-He213
005 20240928131745.0
006 m d
007 cr nn 008maaau
008 250619s2024 sz s 0 eng d
020 $a 9783031711015 $q (electronic bk.)
020 $a 9783031711008 $q (paper)
024 7 $a 10.1007/978-3-031-71101-5 $2 doi
035 $a 978-3-031-71101-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA280
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 519.55 $2 23
090 $a QA280 $b .M522 2024
100 1 $a Melin, Patricia. $3 678025
245 1 0 $a Clustering, classification, and time series prediction by using artificial neural networks $h [electronic resource] / $c by Patricia Melin, Martha Ramirez, Oscar Castillo.
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a viii, 74 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computational intelligence. Computational intelligence, $x 2625-3712
505 0 $a 1. Introduction to Prediction with Neural Networks -- 2. Literature Review on Prediction with Neural Networks -- 3. Problem Description of Prediction with Neural Networks -- 4. Methodology for Prediction with Neural Networks5 -- Results of Prediction with Neural Networks -- 6. Discussion of Prediction Results with Neural Networks -- 7. Conclusions for Prediction with Neural Networks.
520 $a This book provides a new model for clustering, classification, and time series prediction by using artificial neural networks to computationally simulate the behavior of the cognitive functions of the brain is presented. This model focuses on the study of intelligent hybrid neural systems and their use in time series analysis and decision support systems. Therefore, through the development of eight case studies, multiple time series related to the following problems are analyzed: traffic accidents, air quality and multiple global indicators (energy consumption, birth rate, mortality rate, population growth, inflation, unemployment, sustainable development, and quality of life) The main contribution consists of a Generalized Type-2 fuzzy integration of multiple indicators (time series) using both supervised and unsupervised neural networks and a set of Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. The obtained results show the advantages of the proposed model of Generalized Type-2 fuzzy integration of multiple time series attributes. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic techniques for solving problems in classification and prediction. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.
650 0 $a Time-series analysis $x Data processing. $3 671213
650 0 $a Neural networks (Computer science) $3 528588
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Engineering Mathematics. $3 1203947
700 1 $a Ramirez, Martha. $3 1482663
700 1 $a Castillo, Oscar. $3 676149
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in computational intelligence. $p Computational intelligence. $3 1456470
856 4 0 $u https://doi.org/10.1007/978-3-031-71101-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)