TY  - RPRT
N2  - In this paper we present the Radial Basis Neural Network Function. We examine some simple numerical examples of time-series in economics and finance. The forecasting performance is significant superior, especially in financial time-series, to traditional econometric modeling indicating that artificial intelligence procedure are more appropriate. Some MATLAB routines are presented for further application research. 
KW  - Keywords: Radial Basis Function
KW  -  Neural Networks
KW  -  Time-Series
KW  -  Forecasting
KW  -  Stock Returns
KW  -  MATLAB
KW  -  Error Backpropagation Algorithm  -  JEL Classification: C22
KW  -  C45
KW  -  C53
KW  -  C63
KW  -  G10
UR  - http://ssrn.com/abstract=1667442
ID  - eprints1632
TI  - Applications of Neural Network Radial Basis Function in Economics and Financial Time Series
AV  - none
M1  - working_paper
A1  - Giovanis, Eleftherios
Y1  - 2010/08//
EP  - 20
VL  - 10.2139/ssrn.1667442
ER  -