Rivera, Gilberto. editor. edt http://id.loc.gov/vocabulary/relators/edt Pedrycz, Witold. editor. edt http://id.loc.gov/vocabulary/relators/edt Moreno-Garcia, Juan. editor. edt http://id.loc.gov/vocabulary/relators/edt Sánchez-Solís, J. Patricia. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access IX, 561 p. 229 illus., 164 illus. in color. online resource. 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. 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. edited by Gilberto Rivera, Witold Pedrycz, Juan Moreno-Garcia, J. Patricia Sánchez-Solís. Computational intelligence Engineering Data processing Artificial intelligence Computational Intelligence Data Engineering Artificial Intelligence Q342 9783031697692 https://doi.org/10.1007/978-3-031-69769-2 https://doi.org/10.1007/978-3-031-69769-2 241203 20251030114627.0 978-3-031-69769-2