@techreport{eprints1631,
           month = {August},
          number = {10.2139/ssrn.1667438},
     institution = {IMT Institute for Advanced Studies Lucca},
            year = {2010},
          author = {Eleftherios Giovanis},
           title = {Applications of Feed-Forward Neural Networks with Error Backpropagation Algorithm and Non-Linear Methods in MATLAB},
            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. },
             url = {http://eprints.imtlucca.it/1631/}
}