Giovanis, Eleftherios Applications of Feed-Forward Neural Networks with Error Backpropagation Algorithm and Non-Linear Methods in MATLAB. Working Paper # /2010Full text not available from this repository.
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.
|Item Type:||Working Paper (Working Paper)|
|Uncontrolled Keywords:||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|
|Subjects:||H Social Sciences > HB Economic Theory|
|Research Area:||Economics and Institutional Change|
|Depositing User:||Ms T. Iannizzi|
|Date Deposited:||08 Jul 2013 14:04|
|Last Modified:||24 Jan 2014 14:20|
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