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Chapter 6 Research About Algorithm and Application of Tunable Activation Function Neural Network

机译:第六章可调激活函数神经网络算法与应用研究

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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 fau the simulation indicated the method had the characters that the convergence speed was quick; the precision was high, and the generalization capability was best.
机译:对传统的BP神经网络传递模型和函数进行了改进,用变异激活函数代替了固定传递函数,构建了可调激活函数神经网络。并给出了改进的网络算法和结论。实际诊断是根据发动机润滑油故障进行的;仿真表明该方法具有收敛速度快的特点。精度高,泛化能力最好。

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