Foreign-Exchange-Rate Forecasting with Artificial Neural Networks

Chapter 1 Are Foreign Exchange Rates Predictable? — A Literature Review from Artificial Neural Networks Perspective

Chapter 2 Basic Learning Principles of Artificial Neural Networks

Chapter 3 Data Preparation in Neural Network Data Analysis

Chapter 4 Forecasting Foreign Exchange Rates Using an Adaptive Back-Propagation Algorithm with Optimal Learning Rates and Momentum Factors

Chapter 5 An Online BP Learning Algorithm with Adaptive Forgetting Factors for Foreign Exchange Rates Forecasting

Chapter 6 An Improved BP Algorithm with Adaptive Smoothing Momentum Terms for Foreign Exchange Rates Prediction

Chapter 7 Hybridizing BPNN and Exponential Smoothing for Foreign Exchange Rate Prediction

Chapter 8 A Nonlinear Combined Model Hybridizing ANN and GLAR for Exchange Rates Forecasting

Chapter 9 A Hybrid GA-Based SVM Model for Foreign Exchange Market Tendency Exploration

Chapter 10 Forecasting Foreign Exchange Rates with a Multistage Neural Network Ensemble Model

Chapter 11 Neural Networks Meta-Learning for Foreign Exchange Rate Ensemble Forecasting

Chapter 12 Predicting Foreign Exchange Market Movement Direction Using a Confidence-Based Neural Network Ensemble Model

Chapter 13 Foreign Exchange Rates Forecasting with Multiple Candidate Models: Selecting or Combining? A Further Discussion

Chapter 14 Developing an Intelligent Forex Rolling Forecasting and Trading Decision Support System I: Conceptual Framework, Modeling Techniques and System Implementations

Chapter 15 Developing an Intelligent Forex Rolling Forecasting and Trading Decision Support System II: An Empirical and Comprehensive Assessment