Research About Algorithm and Application of Tunable Activation Function Neural Network
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.
Tunable activation function Neural network Algorithm Diagnosis
Zhengwu Wang Hang Cui
The First Aeronautic Institute of the Air Force, Xinyang, Henan, China Zhengzhou University, Zhengzhou, Henan, China
国际会议
西安
英文
55-61
2013-11-25(万方平台首次上网日期,不代表论文的发表时间)