Applications of Feed-Forward Neural Networks with Error Backpropagation Algorithm and Non-Linear Methods in MATLAB

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

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Year of publication:	2010
Authors:	Giovanis, Eleftherios
Publisher:	[S.l.] : SSRN
Subject:	Neuronale Netze \| Neural networks \| Theorie \| Theory \| Algorithmus \| Algorithm \| Prognoseverfahren \| Forecasting model

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