• Each pixel's grayscale value is then fed to each of six input layer nodes.

    然后,将每个像素的灰阶值 提供给6 个输入层节点。

    youdao

  • This model includes the input layer, hidden layer and output layer.

    该模型包括输入层、隐含层和输出层。

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  • The network model consists of three layers: the input layer, the hidden layer, and the output layer.

    网络模型由三层构成:输入层、隐含层、输出层。

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  • The chosen neural network architecture consisted of one input layer, one hidden layer and the output layer.

    我们选择的网络结构包括一个输入层、一个隐含层、一个输出层。

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  • The fuzzy set theory was employed at the input layer to make the processing of linguistic variables possible.

    网络的输入层引入模糊集合理论,使网络能处理语义变量。

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  • The model consists of three neuron layers: input layer with 12 nodes, output layer with 22 nodes and hidden layer.

    BP神经网络模型的输入层设12个结点,输出层设22结点,设一层隐含层。

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  • After studying network, coefficient matrix of each unit which includes input layer, intermediate layer and output layer was gained.

    网络学习结束后,得到输入层、中间层和输出层各单元的连接系数矩阵。

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  • The first layer is input layer consisting of a group of processing units which are responsible for acceptance of data imported to the network.

    第一层即输入层,包含一组处理单元,负责接受向网络输入的数据。

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  • The traditional 3-layer feed forward BP network modal of morphological opening and closing operation was modified by extending the input layer data.

    采用扩展输入层数据的办法修正了传统的形态开、闭运算三层前馈BP网络模型。

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  • When BP network model is established, 8 parameters affecting the debris flows activity of the studying area are chose as the net input layer, and 20 samples are used to train the network.

    在BP网络模型建立时采用了对研究区泥石流活跃程度影响最主要的8个参数作为输入层,并选取了研究区的20个样本对网络进行训练。

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  • Input layer is respectively the displacement and speed of car, the Angle and Angle speed between pendulum bar and vertical line.

    输入层分别为小车的位移和速度、摆杆偏离铅垂线的角度和角速度。

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  • The decomposed images are then used as the nodes on input-layer of multi-layer feed-forward network, which recognize the vehicle model on painting line.

    然后把分解后的图像作为多层前馈神经网络的输入节点,对自动喷漆线上的汽车车型进行识别。

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  • The decomposed images are then used as the nodes on input-layer of multi-layer feed-forward network, which recognize the vehicle model on painting line.

    然后把分解后的图像作为多层前馈神经网络的输入节点,对自动喷漆线上的汽车车型进行识别。

    youdao

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