Giovanis, Eleftherios Applications of Feed-Forward Neural Networks with Error Backpropagation Algorithm and Non-Linear Methods in MATLAB. Working Paper # /2010
Full text not available from this repository.Abstract
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) |
|---|---|
| Identification Number: | https://doi.org/10.2139/ssrn.1667438 |
| 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 |
| URI: | http://eprints.imtlucca.it/id/eprint/1631 |
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