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
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Computerized diagnostics for diesel engines
Tema Archive | 1985
|Computerized diagnostics for diesel engines
Automotive engineering | 1985
|Model Diagnostics of Jet Engines
AIAA | 2006
|APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR FAULT DIAGNOSTICS OF MILITARY TURBOFAN ENGINES
British Library Conference Proceedings | 2003
|Diagnostics and prognostics of aerospace engines
TIBKAT | 2019
|