Based on the application of artificial neural network principle, this paper presents a BP artificial neural network model for aeromagnetic information connection.
应用人工神经网络方法，以航磁数据为样本，建立了航磁信息关联的BP人工神经网络模型。
The nonlinearity and distribution of information processing of the artificial neural network are utilized in the indentification of model of coal spontaneous combustion stove at low temperature.
将人工神经网络的非线性特性和信息的分布性用于煤低温自燃实验炉的模型辩识。
The dynamic vibration information is gained from acceleration meter, and then by FFT analysis, the frequency information of vibration is used as the training specimen of neural network.
首先利用测振传感器获得转子的振动信息，然后用FFT分析，将振动信号的频谱分析作为神经网络的训练样本。
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