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本文提出一种基于Ｋａｌｍａｎ滤波方法的神经网络并行学习算法．模拟实验表明，这种学习算法加快了神经网络遥感图像分类的收敛速度和精度．
This paper presents a neural network parallel learning algorithm based on Kalman filtering method. Simulation experiments show that this learning algorithm accelerates the convergence rate and accuracy of the remote sensing image classification of neural network.