%0 Report
%9 Working Paper
%@ 10.2139/ssrn.1667438
%A Giovanis, Eleftherios
%D 2010
%F eprints:1631
%I IMT Institute for Advanced Studies Lucca
%K Keywords: Feed-Forward Neural Networks, Error Backpropagation Algorithm, Non-Linear Methods, Time-Series, Inflation Rate, Treasury Bills, Forecast, MATLAB  -  JEL Classification: C22, C45, C53, C63, G10
%N  
%T Applications of Feed-Forward Neural Networks with Error Backpropagation Algorithm and Non-Linear Methods in MATLAB
%U http://eprints.imtlucca.it/1631/
%X In this paper we examine and present the methodology of feed-forward neural networks with error backpropagation algorithm and non-linear methods. We test some applications of time-series analysis in economics. The first part is consisted by applications following the traditional approach of neural networks. In the second part we propose a weighted input regression. Additionally, we present full programming routines in MATLAB in order to replicate the results and for further research applications, modifications, expansions and improvements.