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Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification

Alexandridis, Antonis, Zapranis, Achilleas (2014) Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification. John Wiley & Sons, New Jersey, USA, 264 pp. ISBN 978-1-118-59252-6. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
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Abstract

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification presents the statistical model identification framework that is needed to successfully apply wavelet networks as well as extensive comparisons of alternate methods. Providing a concise and rigorous treatment for constructing optimal wavelet networks, the book links mathematical aspects of wavelet network construction to statistical modeling and forecasting applications in areas such as finance, chaos, and classification. The authors ensure that readers obtain a complete understanding of model identification by providing in-depth coverage of both model selection and variable significance testing. Featuring an accessible approach with introductory coverage of the basic principles of wavelet analysis, Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification also includes: • Methods that can be easily implemented or adapted by researchers, academics, and professionals in identification and modeling for complex nonlinear systems and artificial intelligence • Multiple examples and thoroughly explained procedures with numerous applications ranging from financial modeling and financial engineering, time series prediction and construction of confidence and prediction intervals, and classification and chaotic time series prediction

Item Type: Book
Subjects: H Social Sciences > HG Finance
Q Science > QA Mathematics (inc Computing science)
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.87 Neural computers, neural networks
Divisions: Faculties > Sciences > School of Mathematics Statistics and Actuarial Science
Faculties > Social Sciences > Kent Business School > Accounting and Finance
Depositing User: Antonis Alexandridis
Date Deposited: 17 May 2014 21:24 UTC
Last Modified: 29 May 2019 12:35 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/41084 (The current URI for this page, for reference purposes)
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