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s形函数
相关语句
  sigmoid function
     Realization Technique of Current-mode Sigmoid Function Neuron Circuit
     电流模式S形函数神经元电路的实现技术
短句来源
  s-function
     S-function for constructing Meyer wavelet function is proposed and the properties of S-function are analyzed. An approach to construct polynomial Sfunctions is designed and S-functions of any order can be given by this method. Some applications of S-functions are also given and proved by experiments.
     提出了用于Meyer小波构造的S形函数并对其性质进行了分析,给出了设计光滑多项式S形函数的方法,所得出的光滑S形函数可以达到任意高的阶数,同时给出了S形函数的一些应用,并进行了实验验证.
短句来源
  “s形函数”译为未确定词的双语例句
     Chapter 2 presents the expression of generalized S-Curve function based on some kinds ordinary S-Curve functions widely used in the past in many branches of sciences such as Logistic Curve, Gompertz Curve, Bertalanffy Curve and Richards Curve and so on.
     第二章,由常见的几种S形曲线归纳出一般S形函数的基本特征关系式,在此基础上进一步分析了各类S形函数增长率与响应变量增长的变化关系,以Richards曲线的增长率为原形,Gompertz曲线的初值为渐近值,通过求解方程初值问题推导出具有一般S形特征的广义S形函数表达式。
短句来源
     It draws out the fundamental property representative formula of generalized S-Curve function.
     这样,在对S形特征观测数据的非线性回归分析中,可首先考虑直接选取广义S形函数作为模型期望函数。
短句来源
     On account of the flexible relative increment rate of Richards Curve and the adaptive initial value of Gompertz Curve, the generalized S-Curve function can be concluded by solving the initial value problem and should be chosen as the expectation function in Nonlinear Regression Analysis first for its generalized properties of S-Curve.
     第三章,给出了S形函数参数初估值的六种设定方法和广义S形函数及其它几种常见S形函数参数初估值的设定结果。 采用这些方法并通过SAS/TATA统计软件编程处理方式,成功地建立了国内出版机构增长的广义S形曲线非线性回归模型,对三十年来国内出版机构增长的变化过程进行了有效的拟合和预测。
短句来源
     (5) A back-propagation neuron network was designed for weed identification, with the modifying of activation function and performance function in connotativelayer.
     (5) 设计BP神经网络,并对隐含层的激活函数和误差函数作了改进。 隐含层的激活函数采用双极性S形函数,它可以减少收敛时间。
短句来源
     Based on the parameters of plied yarn, a modeling of Neural Network is determined.
     基于股线的参数,建立了S形函数连接的BP神经网络模型。
短句来源
  相似匹配句对
     A new meshless shape function is constructed.
     构造了新的无单元函数.
短句来源
     Describing Shape Function by Means of Making Basic Function
     从构造基函数入手建立函数
短句来源
     MULTIPLE WINDOW FUNCTION
     多窗口函数
短句来源
     The Lcm-sum Function
     最小公倍数的和函数
短句来源
     Realization Technique of Current-mode Sigmoid Function Neuron Circuit
     电流模式S函数神经元电路的实现技术
短句来源
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  sigmoid function
The original ME algorithm chooses the fixed exponential or sigmoid function as the nonlinear mapping function which can not match the original signal very well.
      
The sigmoid function was used to transform the optimization criteria to desirability values.
      
The form of this relationship is not significantly different to a sigmoid function and the rate of change of restraint was greatest between 6-8 h after the first oviposition.
      
This results in a double sigmoid function in which at extreme values of φ and θ the system stabilizes on a steady state of either approach or withdrawal response patterns.
      
X-Y concentration curves (effective concentration, EC) of the substances were calculated by fitting a four-parametric sigmoid function to the relative rates of glucose formation at various test concentrations.
      
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  s-function
We present a theory based on the Green's-function formalism to
      
The bulk band structure is also discussed in detail using the traditional Green's-function method.
      
I illustrate an efficient way to calculate the perfect-crystal Green's-function matrix elements for any structure, including those that belong to non-symmorphic space groups.
      
Green's-function method for solving problems of nonequilibrium adsorption and convective diffusion of impurity in a medium
      
The linearized version of Landau's transport theory of Fermi liquids is derived using Green's-function techniques.
      
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Based on the parameters of plied yarn, a modeling of Neural Network is determined. Using Levenberg-Marquardt method, the tensile properties of plied yarn is predicted with Matlab 6.1 software. The predicted results are compared with those of experiments, and it is showed that they are in good agreement with each other.

基于股线的参数,建立了S形函数连接的BP神经网络模型。采用Levenberg-Marquardt优化算法,用MATLAB6.1进行仿真,对股线的拉伸力学性能进行了预报。预报结果与实验结果吻合良好。

S-function for constructing Meyer wavelet function is proposed and the properties of S-function are analyzed.An approach to construct polynomial Sfunctions is designed and S-functions of any order can be given by this method.Some applications of S-functions are also given and proved by experiments.

提出了用于Meyer小波构造的S形函数并对其性质进行了分析,给出了设计光滑多项式S形函数的方法,所得出的光滑S形函数可以达到任意高的阶数,同时给出了S形函数的一些应用,并进行了实验验证.

A stand's reserved density model for Masson pine(Pinus massoniana) plantation was developed with ANN(artificial neural network).The data for the study were collected from 481 sample plots.Using tangent "S" functions of MATLAB as the neural functions,a reserved density model with ANN was established and trained by the trained samples of standardized and mormalized data of age and density.A comparative study between ANN model and power function was also conducted.The fitting accuracy of ANN model was(94.27%),while...

A stand's reserved density model for Masson pine(Pinus massoniana) plantation was developed with ANN(artificial neural network).The data for the study were collected from 481 sample plots.Using tangent "S" functions of MATLAB as the neural functions,a reserved density model with ANN was established and trained by the trained samples of standardized and mormalized data of age and density.A comparative study between ANN model and power function was also conducted.The fitting accuracy of ANN model was(94.27%),while the fitting accuracy of power function was 91.29%.It is concluded that the ANN model is better than the common methods in simulating the density changing along with age,especially in simulating the complex process of forest management.

为探索人工神经网络在林分保留密度研究中的应用效果,以马尾松人工林为对象,481块标准地资料为基础数据,用MATLAB的正切“S”形函数tansig为神经元的作用函数,以年龄和密度的标准化、归一化数据为训练样本,构建和训练林分保留密度的人工神经网络模型,并与幂函数进行对比研究.结果表明,密度与年龄的关系用幂函数(y=axb)描述,拟合精度为91.29%;用人工神经网络描述,拟合精度为94.27%.可见,人工神经网络能比常规方法更好地模拟林分密度随年龄的变化规律,特别能有效地模拟经营活动下的复杂过程.

 
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