Geodesic
Choice of parameters for neuronetwork model
News of the Kabardin-Balkar scientific center of RAS, no. 1 (2011), pp. 118-121

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The possibility of Kohonen’s Self Organizing Maps (SOM) implementation for construction of dynamics objects predictive models for technological process monitoring is considered. The short review of fractal dimensionality determination methods is observed. Method of fractal dimensionality determination is used for finding optimal parameters of SOM. Problem of determination of butt joint’s quality in the argon-arc welding technological process has been analyzed by neuro-regressional model.
Keywords: dynamic objects, predictive models, time series fractal dimensionality, Kohonen Self Organizing Maps, training algorithm. 
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     author = {P. V. Evdokimov},
     title = {Choice of parameters for neuronetwork model},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {118--121},
     publisher = {mathdoc},
     number = {1},
     year = {2011},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2011_1_a20/}
}
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P. V. Evdokimov. Choice of parameters for neuronetwork model. News of the Kabardin-Balkar scientific center of RAS, no. 1 (2011), pp. 118-121. http://geodesic.mathdoc.fr/item/IZKAB_2011_1_a20/