國立虎尾科技大學 |

Wavelet neural networks DUP_1 = with applications in financial engineering, chaos, and classification /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Wavelet neural networks DUP_1/ 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.
標題:	Wavelets (Mathematics) -
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118596272
ISBN:	9781118596296 (epub)

Wavelet neural networks DUP_1 = with applications in financial engineering, chaos, and classification /
Alexandridis, Antonis K.

Wavelet neural networks DUP_1with 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:

528163
Wavelets (Mathematics)

LC Class. No.: QA403.3

Dewey Class. No.: 006.3/2

Wavelet neural networks DUP_1 = with applications in financial engineering, chaos, and classification /
LDR:02440cam a2200373 i 4500 001 832765
003 OCoLC
005 20151014092008.0
006 m o d
007 cr |||||||||||
008 160127s2014 nju ob 001 0 eng
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
040 $a DLC $b eng $c DLC $d YDX $d EBLCP $d N $d MHW $d IDEBK $d YDXCP $d E7B $d DG1 $d DEBSZ $d CDX $d COO $d OCLCF $d OCLCO
050 0 0 $a QA403.3
082 0 0 $a 006.3/2 $2 23
100 1 $a Alexandridis, Antonis K. $3 1059757
245 1 0 $a Wavelet neural networks DUP_1 $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 528163
650 0 $a Neural networks (Computer science) $3 528588
650 0 $a Financial engineering. $3 591542
700 1 $a Zapranis, Achilleas, $d 1965- $3 1059758
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118596272