Toggling layer visibility no longer makes a hidden layer active.
切换图层可视性不再使一个隐藏层激活。
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。
This paper proposes a hidden layer structure adaptive radial basis function (HSARBF) classifier.
提出了一种隐层结构自适应学习的径向基函数网络(HSARBF)水声目标分类器。
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 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 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。
The effects of neuron number in hidden layer and momentum parameter on classification have been investigated.
文章还对隐含层神经元数目和动量参数的影响做了考察。
The hidden layer that is made up of proportion, integral and differential three parts realizes PID operation;
隐含层由比例元、积分元、微分元组成，实现PID运算；
This paper proposes a method which can determine the suitable structure in the hidden layer of a neural network.
提出一种确定神经网络隐层中合理结构的方法。
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。
First, the usual ways that are employed to choose the number of RBFNN's hidden layer nodes are analyzed and compared.
首先对目前常用的RBF网络的隐层节点数的选择办法进行了分析，并指出它们的优点和不足。
Determining the thickness of "hidden layer" is an important problem in engineering geophysics and engineering geology.
确定“隐蔽层”的厚度，是工程物探、工程地质和工程地震学中的一个重要问题。
Taking a MLP with a single hidden layer for an example, a semi-linear analysis theory of internal behavior of MLPs is presented.
作者以单隐层的MLP为例，论述了关于MLP的内部行为的半线性分析理论。
This setting will create a neural network model that does not contain a hidden layer, and that therefore is equivalent to logistic regression.
这样设置便可以创建不包含隐藏层的神经网络模型，从而使该神经网络模型与逻辑回归等效。
Trial numerical computation indicates that taking radial basic function as exciting function of a hidden layer brings good sample fitting effect.
经数值计算结果表明，选择径向基函数作为隐层的激励函数，可以得到较好的样本拟合效果。
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 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；
This paper investigates the identification of unknown nonlinear dynamical system using multilayered feedforward neural network with a single hidden layer.
本文探讨了只用单个隐含层的前向神经网络对未知非线性动态系统的识别。
A novel three-layer neural network with knowledge-based neurons (NNKBN) in hidden layer has been applied to model the crossover discontinuities in stripline circuits.
本文采用一种新型的三层神经网络，即隐蔽层具有知识神经元的神经网络(NNKBN)模拟带状线电路中的十字交越不连续性。
This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.
讨论了利用仅含一个隐层的前馈多层神经网络来辨识离散时间非线性动态系统时的模型检验问题。
The equalizer is constructed with decision feedback structure, and an immune algorithm is used to determine the structure and parameters of RBF nonlinear hidden layer.
这种均衡器引入了判决反馈均衡器的结构，并采用免疫算法确定RBF网络隐层（非线性层）的结构和参数。
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。
Adaptive wavelet neural network intelligent detection is a method in which the wavelet function substitutes for the activation function of hidden layer in the neural network.
自适应小波神经网络检测法就是利用小波函数取代通常神经网络中隐层的作用函数来实现的。
The choice of quantity and position of hidden layer radial basis functions is very important and directly affects the goodness of fit of overall network classification ability.
在径向基函数神经网络中，隐层中心的数量和位置的选择是整个网络性能优劣的关键，直接影响网络的分类能力。
The role of hidden layer neurons of a RBF neural network can be interpreted as a function which maps input patterns from a nonlinear separable space to a linear separable space.
R BF神经网络的隐层神经元的作用可解释成从非线性可分空间向线性可分空间映射的函数。
For multilayer perceptron with single hidden layer, the computer simulation is done to get the number of hidden neurons and quantization bit which satisfy the design requirement.
针对单隐层感知器的硬件设计进行了计算机仿真，得到了满足设计要求的隐层神经元个数和量化比特数。
The analysis shows that: by the sacrifice of compression ratio, the quality of the recovered image can be improved with the increase of the number of the neurons in the hidden layer.
分析结果表明：可以通过牺牲压缩率，增加隐含层的神经元数来提高重建图像的质量。
The principle and methods to determine the network parameters such as number of neuron in hidden layer, excitation function and the convergence accuracy have been analyzed in detail.
并且详细叙述了神经网络结构参数如隐含层神经元个数、激励函数、网络收敛精度等的确定原则和方法。
This paper analyzed the tertiary industry added value in Inner Mongolia using Artificial Neural Network. Finally, the paper built the BP Neural Network model with single hidden layer.
文章通过运用神经网络的建模方法对内蒙古自治区第三产业增加值进行分析，最后建立了单隐层的BP神经网络模型。
This paper analyzed the tertiary industry added value in Inner Mongolia using Artificial Neural Network. Finally, the paper built the BP Neural Network model with single hidden layer.
文章通过运用神经网络的建模方法对内蒙古自治区第三产业增加值进行分析，最后建立了单隐层的BP神经网络模型。
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