Innovative Applications of Artificial Neural Networks to Data Analytics and Signal Processing : Studies in Computational Intelligence, cartea 1171
Editat de Gilberto Rivera, Witold Pedrycz, Juan Moreno-Garcia, J. Patricia Sánchez-Solísen Limba Engleză Hardback – 27 oct 2024
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Specificații
ISBN-13: 9783031697685
ISBN-10: 3031697685
Pagini: 200
Ilustrații: Approx. 200 p.
Dimensiuni: 155 x 235 mm
Greutate: 1.1 kg
Ediția:2025
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3031697685
Pagini: 200
Ilustrații: Approx. 200 p.
Dimensiuni: 155 x 235 mm
Greutate: 1.1 kg
Ediția:2025
Editura: Springer Nature Switzerland
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
Applies artificial neural networks using cutting-edge technologies Includes data analytics applications Covers signal processing through artificial neural networks