The nonlinear mapping relation among the PSD of vehicle body centroid vertical acceleration, pitching angular acceleration and the road surface were found by RBF neural networks.
应用rbf神经网络建立了汽车车身质心垂直加速度功率谱密度、俯仰角加速度功率谱密度和路面功率谱密度之间的非线性映射模型。
It get the nonlinear mapping to describe the relation of the system's input and output by learning the controlled system's input and output data.
它依据被控系统的输入输出数据，通过学习得到一个描述系统输入输出关系的非线性映射。
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