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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
John Wiley & Sons, Inc.,
[2014]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- 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.