GDF v2.0, an enhanced version of GDF

Published: 15 December 2007| Version 1 | DOI: 10.17632/2bfdvg3wyg.1
Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos Dermatas


Abstract An improved version of the function estimation program GDF is presented. The main enhancements of the new version include: multi-output function estimation, capability of defining custom functions in the grammar and selection of the error function. The new version has been evaluated on a series of classification and regression datasets, that are widely used for the evaluation of such methods. It is compared to two known neural networks and outperforms them in 5 (out of 10) datasets. Program s... Title of program: GDF v2.0 Catalogue Id: ADXC_v2_0 Nature of problem The technique of function estimation tries to discover from a series of input data a functional form that best describes them. This can be performed with the use of parametric models, whose parameters can adapt according to the input data. Versions of this program held in the CPC repository in Mendeley Data ADXC_v1_0; GDF; 10.1016/j.cpc.2005.11.003 ADXC_v2_0; GDF v2.0; 10.1016/j.cpc.2007.08.008 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)



Computational Physics, Computational Method