Geodesic
On the optimization of the constructive method of training neural networks
Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 3 (2018), pp. 184-189

Voir la notice de l'article provenant de la source Math-Net.Ru

The article suggests a constructive method for training neural networks in which neurons added just before the current epoch of training assume the main training load on the new class to ensure the stability of the network in relation to learning on new data classes. The results of computational experiments are presented.
Keywords: neural networks, machine learning, constructive training methods. 
@article{VKAM_2018_3_a21,
     author = {M. A. Kazakov},
     title = {On the optimization of the constructive method of training neural networks},
     journal = {Vestnik KRAUNC. Fiziko-matemati\v{c}eskie nauki},
     pages = {184--189},
     publisher = {mathdoc},
     number = {3},
     year = {2018},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VKAM_2018_3_a21/}
}
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M. A. Kazakov. On the optimization of the constructive method of training neural networks. Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 3 (2018), pp. 184-189. http://geodesic.mathdoc.fr/item/VKAM_2018_3_a21/