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Wavelet neural networks[electronic resource] :with applications in financial engineering, chaos, and classification /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3/2
書名/作者:	Wavelet neural networks : with applications in financial engineering, chaos, and classification // Antonis K. Alexandridis, Achilleas D. Zapranis.
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.
標題:	Wavelets (Mathematics)
標題:	Neural networks (Computer science)
標題:	Financial engineering.
ISBN:	9781118596296 (epub)
ISBN:	1118596293 (epub)
ISBN:	9781118595503 (pdf)
ISBN:	1118595505 (pdf)
ISBN:	9781118596272 (electronic bk.)
ISBN:	1118596277
ISBN:	9781306685009
ISBN:	1306685001
書目註:	Includes bibliographical references and index.
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.
摘要、提要註:	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.
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118596272

Wavelet neural networks[electronic resource] :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:

393849
Wavelets (Mathematics)

LC Class. No.: QA403.3

Dewey Class. No.: 006.3/2

Wavelet neural networks[electronic resource] :with applications in financial engineering, chaos, and classification /
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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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020 $a 9781306685009
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100 1 $a Alexandridis, Antonis K. $3 624198
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 393849
650 0 $a Neural networks (Computer science) $3 386157
650 0 $a Financial engineering. $3 339966
700 1 $a Zapranis, Achilleas, $d 1965- $3 624199
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118596272