This paper presents a neural network system-GTNN for identifying the gapping of the main journal bearing of engines. Calculation results are compared with the experiment data, and the error of them is acceptable. Finally the explanation of the calculation result is given.
Neural network identifying system for the gapping of main journal bearing of engine
01.01.1999
278475 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Neural Network Identifying System for the Gapping of Main Journal Bearing of Engine
British Library Conference Proceedings | 1999
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