It also solves the problem how to decide the hidden node Numbers for the BP neural networks.
同时，解决了BP神经网络难以确定隐结点数的问题。
Furthermore, an annealing robust learning algorithm is presented to adjust these hidden node parameters as well as the weights of the SVR-NN.
此外，退火的鲁棒学习算法，提出这些隐藏的节点参数以及SVR - NN的权重的调整。
where d(n) for a hidden node n, turns on (1) how much n influences any given output node; and (2) how much that output node itself influences the overall error of the net.
其中d(n)是隐藏节点 n 的函数，让我们来看（1）n对任何给出的输出节点有多大影响；（2）输出节点本身对网络整体的误差有多少影响。
When a node is not relevant, any associated controls customarily will be hidden.
如果节点不是相关的，那么通常会隐藏任何关联的控件。
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。
According to the characteristics and working manners of neural network, the golden section principle which is used in living abroad is introduced to confirm the node of hidden layer of network.
根据神经网络的特性及其运作方式，将日常广泛使用的黄金分割原理用于网络隐节点个数的确定中。
The render tree has at least one node for every node of the DOM tree that needs to be displayed (hidden DOM elements don't have a corresponding node in the render tree).
渲染树中为每个需要显示的DOM树节点存放至少一个节点（隐藏DOM元素在渲染树中没有对应节点）。
Aiming at the slow convergence rate of BP neural network, append a correlative node on hidden layer, improve the adaptive ability and rate of studying of neural network.
针对BP算法收敛速度慢的特点，在隐含层上加入了关联节点，改善了网络的学习速率和适应能力。
Meanwhile optimization theory based HCM clustering algorithm is used to cluster sample data to determine the number of node of hidden layer, so that the efficiency of RBF network in use is high.
同时采用基于优化原理的HCM算法实现聚类过程，来确定R BF网络的隐含层节点数，使网络的利用效率较高。
The method determining the number of hidden layer node is mainly studied in this paper.
重点探讨了隐含层节点数的确定方法。
Yet with little damage the result is relatively low. To resolve the problem, augmenting node of hidden layer or number of hidden layer.
只是对于小的损伤识别精度相对差一些，可以通过增大网络隐含层节点数或网络层数来加以解决。
And the corresponding model, which took the basic assessment factors of flight safety hidden danger fatalness as input node and assessment results as output node, was built.
并以飞行安全隐患危险性评价的基本要素为输入节点，以评价结果作为输出节点，对空军某部的飞行安全状况进行了评价。
And the corresponding model, which took the basic assessment factors of flight safety hidden danger fatalness as input node and assessment results as output node, was built.
并以飞行安全隐患危险性评价的基本要素为输入节点，以评价结果作为输出节点，对空军某部的飞行安全状况进行了评价。
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