eprintid: 1631
rev_number: 7
eprint_status: archive
userid: 6
dir: disk0/00/00/16/31
datestamp: 2013-07-08 14:04:53
lastmod: 2014-01-24 14:20:52
status_changed: 2013-07-08 14:04:53
type: monograph
metadata_visibility: show
creators_name: Giovanis, Eleftherios
creators_id: eleftherios.giovanis@imtlucca.it
title: Applications of Feed-Forward Neural Networks with Error Backpropagation Algorithm and Non-Linear Methods in MATLAB
ispublished: pub
subjects: HB
divisions: EIC
full_text_status: none
monograph_type: working_paper
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
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. 
date: 2010-08
date_type: published
number:  
pages: 38
id_number: 10.2139/ssrn.1667438
institution: IMT Institute for Advanced Studies Lucca
official_url: http://ssrn.com/abstract=1667438
citation:   Giovanis, Eleftherios  Applications of Feed-Forward Neural Networks with Error Backpropagation Algorithm and Non-Linear Methods in MATLAB.  Working Paper  # /2010