The validity and feasibility of the forward reasoning method for fault diagnosis based on BP neural networks are verified by the example of the faults in the ignition system of automobile engine.
利用汽车发动机点火系统的故障实例验证了基于BP模型的神经网络故障诊断正向推理方法的有效性和可行性。
Based on BP network, the example of nonlinear regression by artificial neural networks is given.
以BP网络为例给出了基于人工神经网络的非线性回归实例分析。
The optimum design method and example on the linear phase differentiator based on the neural networks algorithm are presented.
提出了一种基于神经网络算法的线性相位微分器优化设计方法，给出了线性相位微分器的优化设计实例。
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