Compare to other ANN modeling, the neuron number of the CNN hidden layer is few, and the ability of generalization of the CNN system is well.

与其它的AN N建模相比较，用CNN建立的模型的隐层神经元数量少，系统的泛化能力强。

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Making use of the relative average of network prediction uncertainty, the quantitative analysis is carried out for the ability of generalization.

利用网络预测误差的相对平均值对神经网络的泛化能力进行了定量的分析。

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The application of additional momentum and adaptive learning rate overcomes the limitation effect of BP rule, accelerates the training speed and strengthens the generalization ability of network.

由于采用附加动量项和自适应率等措施，克服了BP规则的局限性，加快了训练速度，增强了网络的泛化能力。

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