Based on continuity analysis of oilfilm force databases of hydrodynamic bearings, neural network model of nonlinear oilfilm forces of elliptical bearings is developed.
基于滑动轴承油膜力数据库的连续性分析，建立了椭圆轴承非线性油膜力的神经网络计算模型。
A fault diagnosis method based on frequency-domain kernel analysis in nonlinear circuit and neural network is presented.
提出一种基于非线性电路频域核分析和神经网络的故障诊断方法。
With this method, the transient analysis of nonlinear time-varying RLCM network can be reduced to a series of the DC analyses of linear time-invariant resistive network.
采用这种方法可将非线性时变RLCM网络的瞬态分析简化为若干次线性时不变电阻性网络的直流分析。
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