A. V. Safonov, D. G. Mitrofanov, А. G. Prohorkin
In article is produced the solving of experimental proof task of the flying objects identification by neural networks possibility.
Described the process of forming the databank for neural net teaching and testing. Conduct the modeling of six aircrafts neural identification by their Doppler spectrums, that obtained experimentally for the purpose the results of recognition obtaining. Results of the neural recognition are produced.