In the paper the choice problems of neurons type for neural network is considered. The neurons types has to be , optimal from the point of work stability, training speed and quality of gas turbine engine technical condition class recognition by work process parameters. Results of researches are given.
Сhoosing the best type neural network jet contour diagnostics engines
2006
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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