Further, a hybrid BP algorithm with dead interval of error is derived for training the neural classifier in order to increase training speed and classification accuracy.

此外，提出用带输出误差死区的混合BP算法训练神经元分类器，提高了网络学习训练速度和分类准确性。

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In this paper we present a novel hybrid algorithm based on attribute reduction of RS and classification principles of SVM.

结合粗糙集的属性约简和支持向量机的分类机理，提出了一种混合算法。

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According to the rice spectral features of hyperspectral image data acquired during the rice is growing, a hybrid decision tree classification algorithm dealing with the variety of rice is developed.

根据水稻生长期的高光谱数据的光谱特征，设计了一个混合决策树分类算法。

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