【摘 要】
：
针对惯性导航系统的特点,建立一个三层BP网络,用测量到的带有噪声的输出变量序列和状态变量作为样本,训练神经网络,经过训练的神经网络对噪声具有抑制能力,可用带有噪声的输
【机 构】
：
哈尔滨工业大学电气工程系,哈尔滨工业大学控制工程系,哈尔滨工业大学控制工程系
论文部分内容阅读
针对惯性导航系统的特点,建立一个三层BP网络,用测量到的带有噪声的输出变量序列和状态变量作为样本,训练神经网络,经过训练的神经网络对噪声具有抑制能力,可用带有噪声的输出变量序列来估计状态变量的真值。
In view of the characteristics of inertial navigation system, a three-layer BP network is established. With the measured sequence of output variables with noise and the state variables as samples, the neural network is trained. The trained neural network can restrain the noise, The output variable sequence to estimate the true value of the state variables.
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