Wavelet neural networks : with applications in financial engineering, chaos, and classification /

Through extensive examples and case studies, Wavelet Neural Networks provides a step-by-step introduction to modeling, training, and forecasting using wavelet networks. The acclaimed authors present a statistical model identification framework to successfully apply wavelet networks in various applic...

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Bibliographic Details
Main Author: Alexandridis, Antonis K.
Other Authors: Zapranis, Achilleas, 1965-
Format: eBook
Language:English
Published: Hoboken, New Jersey : John Wiley & Sons, Inc., [2014]
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary:Through extensive examples and case studies, Wavelet Neural Networks provides a step-by-step introduction to modeling, training, and forecasting using wavelet networks. The acclaimed authors present a statistical model identification framework to successfully apply wavelet networks in various applications, specifically, providing the mathematical and statistical framework needed for model selection, variable selection, wavelet network construction, initialization, training, forecasting and prediction, confidence intervals, prediction intervals, and model adequacy testing.
Physical Description:1 online resource.
Bibliography:Includes bibliographical references and index.
ISBN:9781118596296 (epub)
1118596293 (epub)
9781118595503 (pdf)
1118595505 (pdf)
9781118596272
1118596277
9781306685009
1306685001
DOI:10.1002/9781118596272