ENGLISH

Innovative Applications of Artificial Neural Networks to Data Analytics and Signal Processing

By Witold Pedrycz , Juan Moreno-García , Gilberto Rivera , J. Patricia Sánchez-Solís

Book information

Publisher
Springer Nature
Year
2024
ISBN
3031697693, 3031697685, 9783031697685, 9783031697692
DOI
10.1007/978-3-031-69769-2
ISSN
1860-949X
ASIN
B0CWHHZ5GV
LCC
Q342
Google Books ID
ExI1EQAAQBAJ
Open Library ID
OL53262121M
Language
english
Format
EPUB
Filesize
87 MB (91233936 bytes)
Series
Studies in Computational Intelligence Book 1171
Volume
1171
Edition
1
Pages
560\0
Orientation
portrait
Paginated
yes
Scanned
no
Time added
2024-12-12 03:32:08

Description

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.

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