03788nam a22005775i 4500 978-3-031-69769-2 DE-He213 20251030114627.0 cr nn 008mamaa 241203s2024 sz | s |||| 0|eng d 9783031697692 978-3-031-69769-2 10.1007/978-3-031-69769-2 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Innovative Applications of Artificial Neural Networks to Data Analytics and Signal Processing [electronic resource] / edited by Gilberto Rivera, Witold Pedrycz, Juan Moreno-Garcia, J. Patricia Sánchez-Solís. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. IX, 561 p. 229 illus., 164 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Computational Intelligence, 1860-9503 ; 1221 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. Computational intelligence. 64052 Engineering Data processing. Artificial intelligence. 58441 Computational Intelligence. 64052 Data Engineering. 66059 Artificial Intelligence. 58441 Rivera, Gilberto. editor. (orcid)0000-0002-2365-4651 https://orcid.org/0000-0002-2365-4651 edt http://id.loc.gov/vocabulary/relators/edt 84615 Pedrycz, Witold. editor. edt http://id.loc.gov/vocabulary/relators/edt 70097 Moreno-Garcia, Juan. editor. edt http://id.loc.gov/vocabulary/relators/edt 89174 Sánchez-Solís, J. Patricia. editor. edt http://id.loc.gov/vocabulary/relators/edt 89175 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031697685 Printed edition: 9783031697708 Printed edition: 9783031697715 Studies in Computational Intelligence, 1860-9503 ; 1221 68854 https://doi.org/10.1007/978-3-031-69769-2 ZDB-2-INR ZDB-2-SXIT 65842 65842