TY  - BOOK
AU  - Yu,Lean
AU  - Wang,Shouyang
AU  - Lai,Kin Keung
TI  - Foreign-exchange-rate forecasting with artificial neural networks
SN  - 9780387717197 (hbk.)
U1  - 006.32 
PY  - 2007///
CY  - New York
PB  - Springer
KW  - Foreign exchange rates
KW  - Forecasting
KW  - Neural networks (Computer science)
N1  - Includes bibliographical references (p. [291]-310) and  index; Are foreign exchange rates predictable? A literature review from artificial neural networks perspective.- Basic principles of ANN - Data preparation in neural network data analysis.- Forecasting foreign exchange rates using an adaptive back-propagation algorithm with optimal learning rate and momentum factors - An online BP learning algorithm with adaptive forgetting factors for 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 rates forecasting.- A hybrid GA-based SVM model for foreign exchange market trends exploration.- Forecasting foreign exchange rates with a multistage neural network ensemble model.- Neural networks meta-learning for foreign exchange rate ensemble forecasting - Predicting foreign exchange market movement direction using a confidence-based neural network ensemble model - 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 implementations - Developing an intelligent Forex rolling forecasting and trading decision support system II-An empirical and comprehensive assessment
ER  -