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- W2347879180 abstract "In this paper, a new kind of BP neural network based on Levenberg-Marquardt optimization algorithm is introduced in detail, which can overcome the disadvantages of standard BP algorithm. Simulation results of an example in fault diagnosis of steam turbine illustrate that the improved algorithm converges very rapidly and has good precision compared with that of the standard BP algorithm. The improved BP neural network is suitable for the case of on-line diagnosis of mechanical fault, and has higher reference value in practical application." @default.
- W2347879180 created "2016-06-24" @default.
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- W2347879180 date "2007-01-01" @default.
- W2347879180 modified "2023-09-24" @default.
- W2347879180 title "Application of improved BP neural network in fault diagnosis" @default.
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