國立高雄大學圖資館 |

Language: English

Back

Innovative applications of artificial neural networks to data analytics and signal processing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Innovative applications of artificial neural networks to data analytics and signal processingedited by Gilberto Rivera ... [et al.].
other author:	Rivera, Gilberto.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	ix, 561 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Neural networks (Computer science)
Online resource:	https://doi.org/10.1007/978-3-031-69769-2
ISBN:	9783031697692$q(electronic bk.)

Innovative applications of artificial neural networks to data analytics and signal processing
Innovative applications of artificial neural networks to data analytics and signal processing[electronic resource] /edited by Gilberto Rivera ... [et al.]. - Cham :Springer Nature Switzerland :2024. - ix, 561 p. :ill. (chiefly color), digital ;24 cm. - Studies in computational intelligence,v. 11711860-9503 ;. - Studies in computational intelligence ;v. 216..

Forecasting and Prediction -- On the minimum error using Kolmogorov size shallow neural network and Gradient Descent algorithms for complicated univariate functions -- A Review on the Classification of Body Movement Time Series to Support Clinical Decision-making -- FMarkNet Forecasting model based on Neural networks and the Markowitz Model.

This book deals with the application of ANNs in real-world problems requiring data analysis and signal processing. Artificial neural networks (ANNs) have emerged in society thanks to the large number of applications that have been used in an awe-inspiring way. These networks offer effective solutions to practical, real-world problems. The wide variety of application fields of the studies in the book is remarkable; these are related to sensorization, agriculture, healthcare, air pollution, video games, and cybersecurity, among others. To organize this variety, the chapters have been grouped into three sections related to: (1) Forecasting and Prediction, (2) Knowledge Discovery and Knowledge Management, and (3) Signal Processing. This book aims to reach readers interested in ANNs and their applications in different fields, so it is interesting not only for computer science but also for other related disciplines.

ISBN: 9783031697692$q(electronic bk.)

Standard No.: 10.1007/978-3-031-69769-2doiSubjects--Topical Terms:

181982
Neural networks (Computer science)

LC Class. No.: QA76.87

Dewey Class. No.: 006.32

Innovative applications of artificial neural networks to data analytics and signal processing
LDR:02401nmm a2200337 a 4500 001 672141
003 DE-He213
005 20241203115255.0
006 m d
007 cr nn 008maaau
008 250325s2024 sz s 0 eng d
020 $a 9783031697692$q(electronic bk.)
020 $a 9783031697685$q(paper)
024 7 $a 10.1007/978-3-031-69769-2 $2 doi
035 $a 978-3-031-69769-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.87
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.32 $2 23
090 $a QA76.87 $b .I58 2024
245 0 0 $a Innovative applications of artificial neural networks to data analytics and signal processing $h [electronic resource] / $c edited by Gilberto Rivera ... [et al.].
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a ix, 561 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-9503 ; $v v. 1171
505 0 $a Forecasting and Prediction -- On the minimum error using Kolmogorov size shallow neural network and Gradient Descent algorithms for complicated univariate functions -- A Review on the Classification of Body Movement Time Series to Support Clinical Decision-making -- FMarkNet Forecasting model based on Neural networks and the Markowitz Model.
520 $a This book deals with the application of ANNs in real-world problems requiring data analysis and signal processing. Artificial neural networks (ANNs) have emerged in society thanks to the large number of applications that have been used in an awe-inspiring way. These networks offer effective solutions to practical, real-world problems. The wide variety of application fields of the studies in the book is remarkable; these are related to sensorization, agriculture, healthcare, air pollution, video games, and cybersecurity, among others. To organize this variety, the chapters have been grouped into three sections related to: (1) Forecasting and Prediction, (2) Knowledge Discovery and Knowledge Management, and (3) Signal Processing. This book aims to reach readers interested in ANNs and their applications in different fields, so it is interesting not only for computer science but also for other related disciplines.
650 0 $a Neural networks (Computer science) $3 181982
650 0 $a Signal processing $x Digital techniques. $3 182126
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Data Engineering. $3 839346
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Rivera, Gilberto. $3 900185
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Studies in computational intelligence ; $v v. 216. $3 380871
856 4 0 $u https://doi.org/10.1007/978-3-031-69769-2
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)