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Erschienen in:
2014 | OriginalPaper | Buchkapitel
6. Research About Algorithm and Application of Tunable Activation Function Neural Network
verfasst von : Zhengwu Wang, Hang Cui
Erschienen in: Proceedings of the First Symposium on Aviation Maintenance and Management-Volume II
Verlag: Springer Berlin Heidelberg
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Abstract
The paper improved the traditional transferring pattern and function about the BP neural network, it replaced the fixed transfer function with the mutative activation function to construct the tunable activation function neural network; it also gave the improved network algorithm and the conclusion. The actual diagnosis was imitated on the engine lubricating oil fault; the simulation indicated the method had the characters that the convergence speed was quick; the precision was high, and the generalization capability was best.