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。
The training of the output layer is the supervised algorithm based on LMS.
输出层的训练是采用基于LMS的监督式数学模型。
There are one or several nodal points in the output layer which generate output data.
输出层含有一个或多个节点，这些节点产生输出数据。
The connection weights between hidden layer and output layer are got by Least Mean Square Algorithm.
径向基函数神经网络的隐含层到输出层的线性连接权值，则是由最小二乘法来计算得到的。
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。
The parameters of the output layer are volume percentages of each composition in the multiphase ceramics.
输出层参数是复相陶瓷中各组分的体积分数。
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。
With the pull methodology, individual nodes have no way of knowing if they are in the input, hidden, or output layer.
使用pull方法则无法知道节点究竟位于输入层、隐藏层还是输出层。
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。
Through the analysis of character features, confirm the input layer, hidden layer and the License of output layer units.
通过对字符特征的分析，确定输入层，隐含层，输出层单元数目。
There are 3 layers in multi-layer front neural network, there are 10 nodes in hide layer, and is 1 node in the output layer.
该神经网络为3层前向网络，其隐含层神经元数为10个，输出层神经元数1个。
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。
The process continues until a certain condition is satisfied or until the output layer is invoked and fires their output to the external environment.
直到满足某条件或者调用输出层将输出发射到外部环境前，这一过程一直持续。
The learning method of hidden-output layer weights is the steepest descent method and the one of input-hidden layer weights is genetic algorithm(GA) .
网络隐层-输出层的权值采取最速下降法学习，输入层-隐层的权值采用遗传算法进行学习；
First, the basic concept of nerve net has been introduced. And then the detail structure of the BP nerve net and the detail design precept of input and output layer have been given.
首先介绍了神经网络的基本概念，接着给出了神经网络的具体结构和输入输出单元的设计方案。
Writing data requires opening an output data source and creating a data layer within it.
写数据则需要打开一个输出数据源并在其内创建一个数据层。
The debug output message can help you to know what exactly happens at the SSL layer.
调试输出消息能够帮助您了解ssl层到底发生了什么问题。
Adding an XSL customization layer for PDF output.
为PDF输出添加一个xsl定制层。
The output of each input layer node is fed to each of six hidden-layer nodes, which in turn feed three output nodes.
再将各个输入层节点的输出 提供给6 个隐藏层节点，这些隐藏层节点将依次提供给3 个输出接点。
The next layer is the <office:text> element, which represents all the contents of the document elements to be saved in the output document.
下一级是 <office:text>元素，它表示所有要保存在输出文档中的文档元素。
If layer data exists for the above layer (and there is a layer above), this average color data for the previous layer is written to the output image.
如果上面一层存在层数据(并且之上还有一层)，则先前层的这些平均颜色数据将被写入输出图像。
The second is data layer, including data acquisition and controlled quantity output.
第二层为数据层，包含数据的采集与控制量的输出。
It is composed of a hybrid locally connected recurrent network with an activation feedback and an output feedback respectively in the hidden layer.
该网络控制器的隐含层由带有输出反馈和激活反馈的混合局部连接递归网络组成。
The algorithm based on C Tree can complete the polygon selection and combination operation in high efficiency for given large scale polygon map layer and small output scale.
对于给定的大比例尺地图多边形图层数据，该算法可以高效率地完成多边形选取与合并的综合操作，输出小比例尺地图图层数据。
Method:The main effective factors could be found by weights of the BP Nerual Network, which has one hidden layer, and the correlation of input and output.
方法：拟合输入与输出之间含有一个隐层的BP神经网络，利用各层输入与输出间的相关程度与网络权值确定各因素影响力大小。
Methods the main effective factors could be found by weights of the BP Nerual Network, which has one hidden layer, and the correlation of inputs and output.
方法拟合输入与输出之间含有一个隐层的BP神经网络，利用各层输入与输出间的相关程度与网络权值确定各因素影响力大小。
Traditional Radioisotope micro Battery (RMB) with direct conversion device of single layer array does not meet the requirements of micro sensor devices for its lower output power.
传统同位素微电池的能量转换结构采用单层阵列形式，造成电池输出功率较小，不能满足微型传感器件的需求。
Traditional Radioisotope micro Battery (RMB) with direct conversion device of single layer array does not meet the requirements of micro sensor devices for its lower output power.
传统同位素微电池的能量转换结构采用单层阵列形式，造成电池输出功率较小，不能满足微型传感器件的需求。
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