trainGPP - Users' manual
2004 (English)Report (Other academic)
The generalised preprocessing perceptron (GPP) is a model that has the advantage of few parameters and still good discriminance ability. Still the GPP is very general and the user might need some support when building and training the model. The toolbox trainGPP , written by the author in MATLAB, is described. The toolbox can be provided by the author and is used to create different types of GPP:s and to train them.
In this paper a tutorial of the different parts of trainGPP is given. It is assumed that the reader is familiar with the GPP and the theory behind it. However, an appendix is included where a presentation of the generalised preprocessing perceptron is given together with descriptions of different kind of GPPmodels.
Place, publisher, year, edition, pages
Dept. of Computing Science, Umeå University , 2004. , 27 p.
Report / UMINF, ISSN 0348-0542 ; 01
IdentifiersURN: urn:nbn:se:umu:diva-8401OAI: oai:DiVA.org:umu-8401DiVA: diva2:148072