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简要地介绍了人工神经网络的一种改进的误差后向传播学习算法（ＭＤ─Ｐ）。并将这种算法用于毫米波辐射计目标识别系统，仿真结果表明，其分类精度很高，具有较高识别率。
This paper introduces an improved error back propagation learning algorithm (MD-P) of artificial neural network. The algorithm is applied to the target recognition system of millimeter-wave radiometer. The simulation results show that the algorithm has high classification accuracy and high recognition rate.