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

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 applic...

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Bibliographic Details
Main Author: Alexandridis, Antonis K.
Other Authors: Zapranis, Achilleas, 1965-
Format: eBook
Language:English
Published: Hoboken, New Jersey : John Wiley & Sons, Inc., [2014]
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.