Wavelet Neural Networks, 1st Edition
with applications in financial engineering, chaos, and classification
- Hardcover
264 pages
- Release Date
24 April 2014
Summary
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…
Book Details
| ISBN-13: | 9781118592526 |
|---|---|
| ISBN-10: | 1118592522 |
| Author: | Antonios K. Alexandridis, Achilleas D. Zapranis |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | John Wiley & Sons Inc |
| Format: | Hardcover |
| Number of Pages: | 264 |
| Edition: | 1st |
| Release Date: | 24 April 2014 |
| Weight: | 490g |
| Dimensions: | 244mm x 160mm x 20mm |
About The Author
Antonios K. Alexandridis
Antonios K. Alexandridis, PhD, is Lecturer of Finance in the School of Mathematics, Statistics, and Actuarial Science at the University of Kent. Dr. Alexandridis’ research interests include financial derivative modeling, pricing and forecasting, machine learning, and neural and wavelet networks.
Achilleas D. Zapranis, PhD, is Associate Professor in the Department of Finance and Accounting at the University of Macedonia, where he is also Vice Rector of Economic Planning and Development. In addition, Dr. Zapranis is a member of the Board of Directors of Thessaloniki’s Innovation Zone.
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