GMDH method with genetic selection algorithm and cloning

Title:

GMDH method with genetic selection algorithm and cloning

Creator:

Jiřina, Marcel and Jiřina jr, Marcel

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:273117f0-a570-4080-b057-412bd24c70b4
uuid:273117f0-a570-4080-b057-412bd24c70b4
doi:10.14311/NNW.2013.23.028

Subject:

Multivariate data, GMDH, linear regression, gaus-Markov conditions, cloning, genetic selection, and classification

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The GMDH MIA algorithm uses linear regression for adaptation. We show that Gauss-Markov conditions are not met here and thus estimations of network parameters are biased. To eliminate this we propose to use cloning of neuron parameters in the GMDH network with genetic selection and cloning (GMC GMDH) that can outperform other powerful methods. It is demonstrated on tasks from the Machine Learning Repository.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2013 Volume:23 | Number:5

Harvested from:

CDK

Metadata only:

false