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  hidden layer
     Radial basis function (RBF) neural network is a kind of three-layer feedforward neural network with single hidden layer, there is great difference between it's structure and learning algorithms with BP neural network's.
     径向基函数(RBF)神经网络是一种具有单隐层的三层前馈网络,其网络结构和学习算法与BP网络有着很大的差别,在一定程度上克服了BP网络的缺点,因此,RBF网络已经成为一个新的研究热点。
短句来源
     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。
短句来源
     The identifier is a dynamic recurrent neural network with one hidden layer, in which the structure of the network is 2-4-1. The dynamic BP algorithm is used to identify the plant on line.
     辨识器采用单隐层的动态递归神经网络,网络结构为2 4 1; 辨识算法为动态BP算法;
短句来源
     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。
短句来源
     The identifier is a dynamic recurrent neural network with one hidden layer, and the dynamic BP algorithm is used to identify the plant on line.
     辨识器采用单隐层的动态递归神经网络,辨识算法为动态BP算法;
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  hidden layers
     Fuzzy logic system is represented by a forward fuzzy neural network which has two hidden layers,the fast learning method is used to adjust initial rule base parameter to get an optimal fuzzy controller,simulation result shows control performance is improved significantly.
     通过将模糊逻辑系统表达成有两个隐层的前向模糊神经网络(FNN),利用其快速学习能力调整系统初始规则库参数,得到优化的模糊控制器,仿真结果表明控制性能有很大改善。
短句来源
     The experimental results show our method is better than the method which using only 2~3 hidden layers, and the color conversion precision of our experiment is about 1 5 CIELUV units.
     实验结果表明 ,该方法的收敛性和训练时间均优于前人采用 2个或 3个隐层的方案 ,而且通过对 5 12个训练样本的实验 ,其平均转换精度接近 1.5个 CIEL U V色差单位 .
短句来源
     We conclude that high training speed and accuracy can be obtained using neural networks with two hidden layers,but the number of neurons in the hidden layers does not have a noticeable effect.
     结果表明:含有2个隐层的神经网络具有高的训练速度和精度,但隐层神经元数对速度和精度的影响并不明显;
短句来源
     With the neural network based model,343 training set data and 216 verification set data according to the principle with LOG space and 64 data sets according to even distribution are used to verify the training results and test the modeling performance. The case study shows that the converging speed,the training time and the accuracy of the model with two hidden layers are very satisfactory. The average precision of the color notation conversion of the model established is less than 0.6 CIELUV unit.
     采用7点LOG空间分布方案的343个训练样本建模的试验表明,收敛性与训练时间及模型精度均优于前人采用3~4个隐层的方案,343个训练样本、216个检验样本和64组测试样本的平均转换精度分别为0.6个CIELUV色差单位,说明该模型的泛化能力很好.
短句来源
     The research indicates that high speeds and accuracy can be obtained using neural networks with two hidden layers.
     结果表明,包含2个隐层的网络可以获得高的训练速度和精度。
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  “隐层的”译为未确定词的双语例句
     In order to improve BP Network's generalizing ability and convergent speed, a new algorithm based on entropy method and an improved energy function is proposed, its efficiency is proved by experiments.
     为了增强BP网隐层的归纳能力,文[1]提出了调整权重的熵方法,我们在文[2]中给出了基于能量函数的改进算法,本文把文[1]算法与文[2]算法结合在一起给出了新算法,实验证明此算法既能大大加快收敛速度,又可增强网的归纳能力。
短句来源
     This text has put forward and studied a kind of new two-hidden layers wavelet neural network frame.
     本文提出并研究了一种新的双隐层的小波神经网络结构框架,并且证明了本文双隐层的小波神经网络具有一致及L2 逼近性质。
短句来源
     Neural networks have fairly well capability of nonlinear map, especially that BP neural networks have 3 characters:The BP neural networks that have two latent layers, can accomplish arbitrarymap.
     神经网络具有较好的非线性映射能力,特别是BP神经网络具有以下3个特点:两个隐层的BP神经网络可以实现任意的映射。
短句来源
     It presents the method of Power Market Clearing Price(MCP) forecasting based on Radial Basis Function (RBF) network with improved fuzzy C means clustering.
     采用RBF网络模型对电力市场中的清算电价进行预测,聚类算法采用改进的模糊C均值聚类,减小了野值对输出结果的影响,隐层的输出采用聚类结果的隶属度函数,省掉了对径向基函数宽度的计算。
短句来源
     Since the classification method based on BP neural network produces lesser error and shows stronger robustness on voice resistance, it has some advantages in data classification.
     Robert Hecht Nielson(1989)证明了对于任意闭合区间连续函数都可以用含有一个隐层的BP网络来逼近,基于BP神经网络的数据分类通常具有较小的分类误差和对噪声有较强的鲁棒性,因而在数据分类方面具有一定的优越性。
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  hidden layer
The relationship between the order of approximation by neural network based on scattered threshold value nodes and the neurons involved in a single hidden layer is investigated.
      
In this paper, we propose a new directional multi-resolution ridgelet network (DMRN) based on the ridgelet frame theory, which uses the ridgelet as the activation function in a hidden layer.
      
The results obtained earlier are extended to the cases of a nonlinear regression and a feedforward neural network with one hidden layer.
      
Multilayer Perceptrons with different numbers of neurons in the hidden layer have been trained using different values of the signal-to-noise ratio to minimize the mean square error using the error back-propagation algorithm.
      
The best predictive power for the classification of soils from the fifteen regions was achieved using a network with seven hidden layer nodes and 2500 training epochs using the online back-propagation randomized training algorithm.
      
更多          
  hidden layers
The attribute reduction algorithm of the discernibility matrix is used for the optimization design of reducing nodes of input and hidden layers.
      
Each network is a multi-layer perceptron with one or two hidden layers and a different number of hidden neurons.
      
The fuzzy neural network has six layers, including input layer, output layer and four hidden layers.
      
These variables served as input variables for neural network technique classification, taking 12 input variables, 2 hidden layers and 7 outcome variables for 0=Movement Time, 1=Wake, 2=REM, 3=S1, 4=S2, 5=S3 and 6=S4.
      
The design of an NN involves the choice of several parameters which include the network architecture, number of hidden layers, number of neurons in the hidden layers, training, learning and transfer functions.
      
更多          


In this paper, the property that a multi-layered neural network can describe any bounded nonlinear function is analyzed and verified by simulation experiment. The effect of the number of hidden layer neurons on network output is also analyzed, and the simulation results are given.

本文采用计算机仿真的方法,对多层神经网络描述任意有界非线性函数的特性进行了分析和实验验证,并对网络的隐层数和每一隐层的神经元个数给网络输出带来的影响进行了分析,同时给出了仿真结果。

In this paper, vibrational fault signals are used as training samples. Firstly, the paper discusses

利用人工神经网络对大型回转机械中的常见故障进行分类和识别。首先讨论了如何从现场故障振动信号中提取故障特征;然后利用一个隐层的BP网络对故障特征进行训练,在训练信息不完备的情况下,就神经网络对组合故障的出现进行了计算,最后利用工厂实际数据进行比较和验算,结果令人满意。

A neural network(NN)proposed in this paper can perform well any transform,

本文提出一种能进行数据变换、量化和编码的神经网络模型,引入离散阶梯状量化函数作为隐层神经元作用函数,在完成变换同时有效地把量化与神经网络相结合,在压缩比不变的情况下提高了恢复数据的信噪比.

 
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