Geodesic
Neuron networks in mechatronics
Fundamentalʹnaâ i prikladnaâ matematika, Tome 11 (2005) no. 8, pp. 81-103

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An elementary introduction to the theory of artificial neuron networks is given. Principles of their structural composition are presented. Methods for the neural networks training commonly used for different levels of intellectual control of mechatronic systems are formulated and substantiated. Neuron networks approaches to typical problems of classification, digital signal processing, data compression, function interpolation and extrapolation, associative behavior, and optimization are stated. 
@article{FPM_2005_11_8_a3,
     author = {Yu. F. Golubev},
     title = {Neuron networks in mechatronics},
     journal = {Fundamentalʹna\^a i prikladna\^a matematika},
     pages = {81--103},
     publisher = {mathdoc},
     volume = {11},
     number = {8},
     year = {2005},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/FPM_2005_11_8_a3/}
}
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Yu. F. Golubev. Neuron networks in mechatronics. Fundamentalʹnaâ i prikladnaâ matematika, Tome 11 (2005) no. 8, pp. 81-103. http://geodesic.mathdoc.fr/item/FPM_2005_11_8_a3/