Abstract
This paper establishes nonlinear model of engine component performance parameters and engine measure parameters by using BP neural net, researches variation of engine performance. In the training of BP net, model precision is elevated by introducing random weight factor in the input, and optimizing key parameters using GE algorithm. This paper provides theoretical reference for performance deterioration.
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Yong-Hua, W., Dong, L., Lu, M. (2011). Research of Engine Performance Deterioration Based on Optimal BP with GE Algorithm. In: Wan, X. (eds) Electrical Power Systems and Computers. Lecture Notes in Electrical Engineering, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21747-0_82
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DOI: https://doi.org/10.1007/978-3-642-21747-0_82
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21746-3
Online ISBN: 978-3-642-21747-0
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