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Wavelet neural networkswith applicat...

Alexandridis, Antonis K.

Wavelet neural networkswith applications in financial engineering, chaos, and classification /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Wavelet neural networksAntonis K. Alexandridis, Achilleas D. Zapranis.
Reminder of title:	with applications in financial engineering, chaos, and classification /
Author:	Alexandridis, Antonis K.
other author:	Zapranis, Achilleas,
Published:	Hoboken, New Jersey :John Wiley & Sons, Inc.,2014.
Description:	1 online resource.
Subject:	Wavelets (Mathematics)
Online resource:	http://onlinelibrary.wiley.com/book/10.1002/9781118596272
ISBN:	9781118596296 (epub)

Wavelet neural networkswith applications in financial engineering, chaos, and classification /
Alexandridis, Antonis K.

Wavelet neural networkswith applications in financial engineering, chaos, and classification /[electronic resource] :Antonis K. Alexandridis, Achilleas D. Zapranis. - Hoboken, New Jersey :John Wiley & Sons, Inc.,2014. - 1 online resource.

Includes bibliographical references and index.

Machine learning and financial engineering -- Neural networks -- Wavelet neural networks -- Model selection : selecting the architecture of the network -- Variable selection : determining the explanatory variables -- Model adequacy testing : determining the networks future performance -- Modeling the uncertainty: from point estimates to prediction intervals -- Modeling financial temperature derivatives -- Modeling financial wind derivatives -- Predicting chaotic time series -- Classification of breast cancer cases.

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.

ISBN: 9781118596296 (epub)

LCCN: 2013050697Subjects--Topical Terms:

182734
Wavelets (Mathematics)

LC Class. No.: QA403.3

Dewey Class. No.: 006.3/2

Wavelet neural networkswith applications in financial engineering, chaos, and classification /
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010 $a 2013050697
020 $a 9781118596296 (epub)
020 $a 1118596293 (epub)
020 $a 9781118595503 (pdf)
020 $a 1118595505 (pdf)
020 $z 9781118592526 (cloth)
020 $a 9781118596272 (electronic bk.)
020 $a 1118596277
020 $a 9781306685009
020 $a 1306685001
020 $z 1118592522
035 $a (OCoLC)866563831 $z (OCoLC)881138404 $z (OCoLC)908035539
035 $a ocn866563831
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050 0 0 $a QA403.3
082 0 0 $a 006.3/2 $2 23
100 1 $a Alexandridis, Antonis K. $3 722563
245 1 0 $a Wavelet neural networks $h [electronic resource] : $b with applications in financial engineering, chaos, and classification / $c Antonis K. Alexandridis, Achilleas D. Zapranis.
260 $a Hoboken, New Jersey : $b John Wiley & Sons, Inc., $c 2014.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
505 0 $a Machine learning and financial engineering -- Neural networks -- Wavelet neural networks -- Model selection : selecting the architecture of the network -- Variable selection : determining the explanatory variables -- Model adequacy testing : determining the networks future performance -- Modeling the uncertainty: from point estimates to prediction intervals -- Modeling financial temperature derivatives -- Modeling financial wind derivatives -- Predicting chaotic time series -- Classification of breast cancer cases.
520 $a 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.
588 $a Description based on print version record and CIP data provided by publisher.
650 0 $a Wavelets (Mathematics) $3 182734
650 0 $a Neural networks (Computer science) $3 181982
650 0 $a Financial engineering. $3 186184
700 1 $a Zapranis, Achilleas, $d 1965- $3 722564
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118596272