本文用密度泛函理论方法系统地研究了稀磁半导体材料。

First-principles methods based upon density functional theory are performed for diluted magnetic semiconductor.

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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。

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.

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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。

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.

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