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   学习步长 的翻译结果: 查询用时:0.41秒
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学习步长     
相关语句
  learning rate
     Learning Rate Refining for Gradient Descent Method of RBF Neural Networks
     RBF神经网络的梯度下降训练方法中的学习步长优化
短句来源
     The discussions on the learning rate η and the momentum coefficient α are given.
     对学习步长η和矩参数α进行了讨论 .
短句来源
     improvements can be achieved as following: 1) Conventional LMS error estimator is replaced by Cauchy error estimator: 2) Shape factor is adopted in Sigmoid function, 3) The adaptive changes of learning rate is realized by using non-sole linear search.
     其改进具体表现在以下方面:1)采用Cauchy误差估计器代替传统的LMS误差估计器; 2)对常规的Sigmoid函数引入形态因子:3)采用非单调线性搜索法实现学习步长的自适应变化。
短句来源
     This paper discusses the influence of BP parameter to the recognition capability of network through varying the step of BP network,parameters of adjusting learning rate adaptively and parameters of integrating momentum method and self-adapting method.
     分别从BP网络的学习步长,学习速率自适应调整算法的参数,动量法和自适应学习速率结合起来算法的参数3方面讨论了改进BP参数对网络识别能力的影响;
短句来源
     Learning rate were chosen by an adaptive algorithm such that the convergence speed wasn't sensitive to learning step.
     算法的学习速率通过一种自适应算法选取 ,从而降低了算法收敛速度对学习步长的依赖。
短句来源
更多       
  learning step
     The method to avoid local minimum and the selections of learning method, learning step length, learning samples and activating function are introduced especially.
     尤其对学习方法的选择、隐层数和隐层单元数的选择、学习步长的选择、避免局部最小的方法、学习样本的选择、激活函数的选择等都作了详细的介绍
短句来源
     Analysis of Learning Step of Adaptive MP Neurons in Continuous Case
     连续自适应 MP 神经元的学习步长分析
短句来源
     Adaptive Tuning for the Learning Step Sizes of the BP Learning Algorithm
     BP算法学习步长的自适应调整
短句来源
     Learning Vector Quantization algorithm of type I and type 2(LVQ1,LVQ2) are analyzed thoroughly,and the achievements obtained can be concluded as the following aspects; (1) an optimized scheme of selecting learning step size for LVQ1 is proposed;
     本文针对学习矢量量化算法Ⅰ型和Ⅱ型(LVQ1、LVQ2)进行了深入的分析研究,取得了以下结果:(1)对应于LVQ1算法,提出了一种选取学习步长的优化方案;
短句来源
     Clustering analysis based on self-organizing feature maps(SOFM) network is a new unsupervised clustering method that de-velops from neural networks. The learning process of clustering based on SOFM network was discussed. The problem ofneighborfunction and learning step's value inthe process of weightcoefficient self-organizingwereanalyzed.
     基于自组织特征映射网络的聚类分析,是在神经网络基础上发展起来的一种新的非监督聚类方法,分析了基于自组织特征映射网络聚类的学习过程,分析了权系数自组织过程中邻域函数和学习步长的一般取值问题,给出了基于自组织特征映射网络聚类实现的具体算法,并通过实际示例测试,证实了算法的正确性。
短句来源
更多       
  learning step size
     Learning Vector Quantization algorithm of type I and type 2(LVQ1,LVQ2) are analyzed thoroughly,and the achievements obtained can be concluded as the following aspects; (1) an optimized scheme of selecting learning step size for LVQ1 is proposed;
     本文针对学习矢量量化算法Ⅰ型和Ⅱ型(LVQ1、LVQ2)进行了深入的分析研究,取得了以下结果:(1)对应于LVQ1算法,提出了一种选取学习步长的优化方案;
短句来源
     The extracting feature self-adaptive wavelet neural network is a sort of feed-forward neural network has both function of choosing the best efficiency PD time-frequency features and pattern sorts, in order to increase the network convergence rate, the adaptive learning step size arithmetic is employed to adjust the network learning rates.
     自适应特征提取小波神经网络是一种集最优局部放电时频特征提取和模式分类器功能于一体的前馈型网络,在网络学习过程中,其学习步长的选择采用自适应学习步长算法,提高网络的收敛速度。
短句来源
     The fuzzy control is used to modify the learning step size and inertia item of BP algorithm. The simu-lation results verify that all performance indices of this intelligent control are better than those of traditional PI control are.
     用模糊控制方法调整BP算法中的学习步长和动量项因子,仿真实验表明,各项指标均优于传统PI控制方式。
短句来源
  study step
     Research on Self-adaptive Study Step of Neural Networks
     神经网络自适应学习步长研究
短句来源
     During choosing data , network layer ,study step and momentum coefficient , we all us the method of as training network as modifying it, BP neural network that adapts to monitoring tangential fluid field with acoustic method comes into being.
     本文从样本的选取,网络层数的确定,以及学习步长、冲量系数的最佳取值,都是采用边训练边修改的方式,形成了适合于声波法切圆流场监测的BP 网络。
短句来源
     The study step derived in this poper can Change automatically with the environonent signal feedback.
     推得的学习步长能够利用环境改变的低息反馈不断自动改变。
短句来源

 

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      learning rate
    Simulation results show that the new algorithm is superior to original Kohonen's algorithm in clustering performance and learning rate.
          
    This paper deals with the procedure of achieving the learning patterns and the method of improving the learning rate.
          
    The dual learning rate parameters are adaptively introduced to make the proposed algorithm providing the capability of the fast convergence and high accuracy for extracting all the principal components.
          
    Efficient gradient descent method of RBF neural entworks with adaptive learning rate
          
    A new algorithm to exploit the learning rates of gradient descent method is presented, based on the second-order Taylor expansion of the error energy function with respect to learning rate, at some values decided by "award-punish" strategy.
          
    更多          
      learning step
    After the learning step, unknown samples are presented to the nets and the identification step performed.
          
    During this latency phase the stored information is forgotten; however, the first learning step is excluded from any forgetting process.
          
    Convergence to an equilibrium map can be ensured by a criterion for the time dependence of the learning step size.
          
    The primary labeling identifies some mathematical symbols by models created at a learning step using fuzzy logic.
          
    Then it is natural to interpret a learning step of an ANN as a morphism, thus learning corresponds to a finite sequence of morphisms (the associated networks are the objects).
          
    更多          
      studying step
    This is done by studying the frequency, comparing the two sensors, and applying steps and studying step responses.
          
      learning step size
    Convergence to an equilibrium map can be ensured by a criterion for the time dependence of the learning step size.
          
      其他


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