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Wavelet neural networks = with appli...

Alexandridis, Antonis K.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Wavelet neural networks/ Antonis K. Alexandridis, Achilleas D. Zapranis.
其他題名:	with applications in financial engineering, chaos, and classification /
作者:	Alexandridis, Antonis K.
其他作者:	Zapranis, Achilleas,
出版者:	Hoboken, New Jersey :John Wiley & Sons, Inc., : 2014.,
面頁冊數:	1 online resource.
內容註:	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.
標題:	Wavelets (Mathematics) -
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118596272
ISBN:	9781118596296 (epub)

Wavelet neural networks = with 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:

532597
Wavelets (Mathematics)

LC Class. No.: QA403.3

Dewey Class. No.: 006.3/2

Wavelet neural networks = with applications in financial engineering, chaos, and classification /
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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.)
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100 1 $a Alexandridis, Antonis K. $3 2148388
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 532597
650 0 $a Neural networks (Computer science) $3 532070
650 0 $a Financial engineering. $3 550926
700 1 $a Zapranis, Achilleas, $d 1965- $3 2148389
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118596272