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隐层     
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  hidden layer
     Research Progress Structural Design of Hidden Layer in BP Artificial Neural Networks
     BP人工神经网络隐层结构设计的研究进展
短句来源
     Transformers Fault Diagnosis Based on Fuzzy BP Network Using Optimization Algorithm for Hidden Layer Nodes
     基于隐层优化算法的模糊BP网变压器故障诊断
短句来源
     The results show that the systematical error is small (fitness 2.6%)with the objective function of 0.2, the number of nodes of 5 in the hidden layer and a learn-rate of 0.1. A knowledge-based constitutive relation was constructed in this study.
     实验结果表明:在目标函数为0.2、隐层节点数为5、学习率为0.1时,预测数据与实验数据吻合良好,系统误差较小(拟合度为2.6%),表明已形成了一个知识基的本构关系模型.
短句来源
     Hidden Layers Compression Algorithm for Neural Network Based Diagnosis Models
     神经网络诊断模型的隐层压缩算法
短句来源
     Neural Networks with Single Hidden Layer and the Best Polynomial Approximation
     单隐层神经网络与最佳多项式逼近
短句来源
更多       
  hidden layers
     A liner function layer (Z layer) contained only two notes is inserted between the input and the hidden layers in BP network or in RBF network to form reducing dimensional mapping.
     提出在BP网络的输入层与隐层或径基函数网络的输入层与隐层之间增加一个只有 2个结点的线性函数层(Z层 ) ,以构成基于BP网和基于径基函数网的降维映射网络。
短句来源
     The average precision of the color notation conversion of the model established in this paper is about 0.60CIELUV units, and the standard deviation 0.57, in contrast, they were 1.53 and 0.77 of the model with 4 hidden layers established in the past.
     模型的色差平均转换精度接近0.60个CIELUV色差单位,标准离差为0.57个色差单位,而4个隐层方案模型的色差平均精度和标准离差分别为1.53和0.77个CIELUV色差单位。
短句来源
     The others three factors mension above have some effects on model. The best preprocessing methods of UTS, YS and ELO model are [0.1, 0.8], [0.01, 0.99] and [0.01, 0.99], and best hidden layers are single hidden layer with 10, 11 and 12 neurons.
     镁合金抗拉强度、屈服强度和延伸率的数据预处理方式分别为[0.1,0.8]、[0.01,0.99]和[0.01,0.99],中间隐层结构为单隐层,且单元数分别为10、11 和12 时,能取得最佳效果。
短句来源
     Self - tuning PID Decoupling Controller Based on DRNN with Double Hidden Layers
     基于双隐层DRNN的自整定PID解耦控制
短句来源
     A Training Method for Diagonal Recurrent Neural Network with Double Hidden Layers Based on Genetic Algorithms
     基于遗传算法的双隐层动态递归神经网络训练方法
更多       
  hidden-layer
     Hidden-layer Redundancy Method of RBF Neural Networks
     RBF神经网络隐层冗余容错方法
短句来源
     Research on Two Hidden-layer Wavelet Networks
     双隐层小波神经网络研究
短句来源
     The Analysis and Application of Redundancy on Hidden-Layer Neurons Under Universal Faults
     普遍故障下神经网络隐层冗余容错的分析与应用
短句来源
     Moreover,as the eigenvectors of the ARMA model have concentrated all the information of the original time series signals,a non-linear mapping for the eigenvector parameters of the ARMA model from a p-dimensional Euclidean space to a two-dimensional one has been performed by using a multi-node input dual hidden-layer BP neutral network in order to conduct a diagnosis of the status of a turbine rotor vibration fault.
     另外由于ARMA模型的特征向量浓缩了原时间序列信号的全部信息,对ARMA模型的特征向量参数利用多节点输入双隐层BP神经网络完成p维欧氏空间到二维欧氏空间的非线性映射,对汽轮机转子振动故障状态进行诊断。
短句来源
     The BP neural network with double hidden-layer is adapted in this dissertation.
     在本文中神经网络采用双隐层BP网络结构。
短句来源
更多       
  hide layer
     In the feedforward neural network model, the Sigmoid function is replaced with activation function to hide layer neuron by introducing two parameters to it, which can improve the neural network's respond property and reinforce its nonlinear approximation capability.
     隐层神经元采用相同的Sigmoid激活函数会限制神经网络的非线性能力,对Sigmoid函数引入两个参数可改善其响应特性,增强其非线性逼近能力。
短句来源
     Through study on Elman network, this paper provide a new neural dynamic recurrent neural network based on input, output, hide layer and give its algorithms.
     通过对Elman网络的研究 ,提出了一种新型的基于输入层、隐层、输出层神经元递归的动态递归神经网络 ,并给出了其算法。
短句来源
     2. Since the convergence rate of the BP network is slow and node structure of it's hide layer is difficult to determine, an improvement of the BP network algorithm and a method to determine the node structure of the hide layer are suggested in this paper.
     二、针对BP网络收敛速度慢和隐层节点结构难以确定的问题,对BP算法作了改进并给出确定隐层节点数的方法;
短句来源
     Principle component analysis can reduce the dimension of input variable. RBF neural network may achieve fast convergence of learn algorithm by adjusting the center of hide layer and the connective weigh with K-mean cluster algorithm.
     主元分析(PCA)实现输入变量的降维,RBF神经网络采用K-均值聚类算法进行隐层中心和连接权调节的学习,实现快速收敛。
短句来源
     dependent factors and antecedent coverage factors of rules are calculated from sample data. They are employed for constructing and configuring fuzzy neural networks, where the number of neurons of hide layer of networks equates to the number of rules and the initial weights of networks are configured by above factors. The input and output of artificial neural networks are fuzzicated and genetic algorithm is also utilized to optimize the fuzzy output parameters of networks.
     首先利用粗糙集理论对样本数据进行初步规则获取,并计算规则的依赖度和条件覆盖度,然后根据这些规则进行网络设计,其中,网络隐层节点的数目等于规则的数目,初始网络权重由规则的依赖度和条件覆盖度确定,同时用模糊集合理论对网络的输入和输出进行模糊化,使用遗传算法对模糊神经网络参数进行优化。
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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          
  hidden-layer
In this paper, we give a constructive proof that a real, piecewise continuous function can be almost uniformly approximated by single hidden-layer feedforward neural networks (SLFNNs).
      
The dynamic and stationary properties of the population vector of the hidden-layer neurons, as obtained within the framework of the model in question, show a close similarity to the experimentally observed (Georgopoulos et al.
      
When the input layer is exposed to the learned pattern, the hidden-layer units show associative activation pattern.
      
A Coiflet wavelet decomposition and a pseudo smoothed Wigner-Ville distribution were used to extract features from the S2 sounds and train a one-hidden-layer NN using two-thirds of the data.
      
Heuristic configuration of single hidden-layer feed-forward neural networks
      
更多          
  hide layer
It is composed by the input layer, the hide layer, the output layer.
      
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