More Details about Wavelet Neural Networks With Applications in Financial Engineering, Chaos and Classificatio

General Information  
Author(s)Antonis K Alexandridis
PublisherJohn Wiley
Publish YearJanuary 2014


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.