The membership function of fuzzy logic control is Gauss function.
在对机械手的控制中，隶属函数采用高斯基函数。
Gauss function is used as neural network's inspirit function, and least square rule is used to recognize the character.
使用了高斯函数作为神经网络的激励函数，并以最小二乘准则对字符进行识别。
The Gauss function is used to fit the spectral lines, marking the central wavelengths, as a basis for automatic identification.
用高斯函数拟会出谱线的形状，标出线心的波长值，作为自动证认的基础。
Fuzzy rule region-split method adopts the fuzzy system whose antecedents take the asymmetric Gauss function as membership function.
模糊逻辑系统的区域分割学习方法采用规则前件为不对称高斯型隶属度函数的模糊逻辑系统。
Typical numerical examples have been given, showing the equivalence of this method and the finite Laguerre Gauss function expansion.
给出的典型数值计算结果证实了这种方法与有限拉盖尔·高斯函数展开法是等价的。
The fuzzy inference is realized by neural network, a fuzzy Gauss function neural network is used for two-joint robot tracking control.
利用神经网络实现模糊推理，运用了一种模糊高斯基函数神经网络，并用于两关节机器人的轨迹跟踪控制。
The radix of this set must be a unknown number smaller than 200 because of the characters of Gauss function and the repeatlessness of set.
由高斯取整的性质和集合的无重复性，此集合的基数必然是一个小于200的未知数。
A more common formula of templates used in image smooth denoising is developed from Gauss function in order to offer more templates to be chosen when denoising images with random noise.
利用高斯函数得到了图象平滑去除随机噪声中使用的平滑模板的一个较普遍的公式。该公式为图象平滑去除噪声提供了多种模板选择。
Instead of traditional background prediction, this method detects infrared small and dim target by judging whether the local grey level surface possesses the two dimension Gauss function feature.
该方法通过判断图像局部灰度包络曲面是否具备二维高斯函数曲面特征实现红外弱小目标检测，不需要进行传统的背景预测。
The modulate Gauss function is selected as the analysis wavelet to deal with the fault signal saltation caused by the damage concussion, according to the (characteristics) of fault vibration signals.
根据走行部故障振动信号的特点，选用调制高斯函数作为分析小波，处理由损伤冲击造成的信号突变。
The method not only would be effective to describe the inter-frame correlation information, but overcome tie of the state probability density function being mixture Gauss distribution.
它不仅能有效地在语音识别中引入帧间相关信息，而且能克服状态输出概率密度函数为混合高斯分布的束缚。
In the new algorithm, a bank of Gauss-Hermite filter (GHF) is used for generating the importance density function.
在滤波算法中，我们用一簇高斯厄米特滤波器(GHF)来产生重要性概率密度函数。
On this foundation, it simulates the projections for double Gauss distribution function and reconstructs the simulating temperature field by the convolution method for parallel beam.
依此原理，模拟了双高斯分布函数的投影，并由平行束卷积法重建出模拟的温度场。
In this paper, the comprehensive sequencing on managing situation of mining is studied. It quoted the GAUSS preference function and PROMETHEE method.
对矿山经营状况的综合评价排序问题进行了研究，引入了高斯偏好函数和PROMETHEE排序模型。
The geometric law of energy conservation is utilized in designing diffraction optical component and evaluating the phase function of diffraction optical component with Gauss beams input.
为了获取长距离超细激光束，采用几何能量守恒法设计出一种衍射光学元件，推导出高斯光入射时衍射光学元件位相函数。
Gauss interpolation realized the fine focusing nearby the peak of focusing curve based on the gradient energy function.
利用梯度平方函数高斯插值实现在峰值附近的精确调焦。
Discrete formulas expressed by Gauss-quadrature are presented when determine the parameter of probability density function which is established based on maximum entropy theory.
给出确定利用最大熵原理建立的功能函数概率分布密度的待定参数时由高斯积分表达的离散化公式。
From the principle of maximum entropy, the radial distribution function of the end-to-end distance was deduced directly, and it is indicated that the function is Gauss-type function.
将自由结合链看成一个微观系统，应用最大熵原理推导出自由结合链末端距的径向分布函数，进而证明自由结合链的末端距符合高斯分布。
Gauss distribution function was employed to describe the relation between the density of nucleation sites and the temperature and was integrated to get the grain density at a given undercooling.
通过高斯分布函数描述形核质点密度随温度的分布关系，在给定过冷度时对分布函数求积分可得该时刻的形核密度。
In This paper, an on-line learning controller based on CMAC with Gauss Basis Function Neural Network is presented, and its algorithm is discussed.
本文提出了基于高斯基函数CMAC在线学习的控制方案，并给出了相应的学习算法。
In This paper, an on-line learning controller based on CMAC with Gauss Basis Function Neural Network is presented, and its algorithm is discussed.
本文提出了基于高斯基函数CMAC在线学习的控制方案，并给出了相应的学习算法。
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