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Foreign-Exchange-Rate Forecasting with Artificial Neural Networks
Lean Yu, Shouyang Wang, Kin Keung Lai
167,95 €
+ 335 points
Format
Description
Preface.- Are foreign exchange rates predictable? An anatomy of a survey from artificial neural networks perspective.- Basic principles of ANN algorithms.- Data preparation in neural network data analysis.- Forecasting foreign exchange rates using an adaptive back-propagation algorithm with optimal learning rate and momentum factor.- An online learning algorithm with adaptive forgetting factors for BP neural network in foreign exchange rate forecasting.- An improved BP algorithm with adaptive smoothing momentum terms for foreign exchange rate prediction.- Hybridizing BPNN and exponential smoothing for foreign exchange rate prediction.- A nonlinear combined model integrating ANN and GLAR for exchange rate forecasting.- A hybrid GA-based SVM model for foreign exchange market trends exploration.- Forecasting foreign exchange rates with a multistage neural network ensemble model.- Foreign exchange rate ensemble forecasting with neural network meta-learning.- A confidence-based neural network ensemble model for predicting foreign exchange market movement direction.- Foreign exchange rates forecasting with multiple candidate models: selecting or combining?.- Developing an intelligent Forex rolling forecasting and trading decision support system I: conceptual framework, modeling techniques and system implementation: developing an intelligent Forex rolling forecasting and trading decision support system II-An empirical and comprehensive assessment.- References.- Subject index.- Author index.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 316
- Langue:
- Anglais
- Collection :
- Tome:
- n° 107
Caractéristiques
- EAN:
- 9781441944047
- Date de parution :
- 25-11-10
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 156 mm x 234 mm
- Poids :
- 480 g
