Stock Index Modeling Using Hierarchical Radial Basis Function Networks [chapter]

Yuehui Chen, Lizhi Peng, Ajith Abraham
2006 Lecture Notes in Computer Science  
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper proposes a Hierarchical Radial Basis Function Network (HiRBF) model for forecasting three major international currency exchange rates. Based on the pre-defined instruction sets, HRBF model can be created and evolved. The HRBF structure is developed using the Extended Compact Genetic Programming (ECGP) and the free
more » ... rs embedded in the tree are optimized by the Degraded Ceiling Algorithm (DCA). Empirical results indicate that the proposed method is better than the conventional neural network and RBF networks forecasting models.
doi:10.1007/11893011_51 fatcat:aa4uei247fcxpio7bwnbrjilzi