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...
Κύριος συγγραφέας: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2014]
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Περίληψη: | 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. |
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Φυσική περιγραφή: | 1 online resource. |
Βιβλιογραφία: | Includes bibliographical references and index. |
ISBN: | 9781118596296 (epub) 1118596293 (epub) 9781118595503 (pdf) 1118595505 (pdf) 9781118596272 1118596277 9781306685009 1306685001 |
DOI: | 10.1002/9781118596272 |