高斯误差函数(Gaussian Error Function)是数学中一种重要的特殊函数,它在统计学、概率论、信号处理等领域有着广泛的应用。在MATLAB中,我们可以使用内置函数erf来计算高斯误差函数的值。本文将介绍高斯误差函数的定义、性质和在实际问题中的应用。 高斯误差函数的定义如下: erf(x) = (2/√π) * ∫[0,x] e^(
Input Arguments collapse all Input, specified as a real number, or a vector, matrix, or multidimensional array of real numbers.xcannot be sparse. Data Types:single|double More About collapse all The error functionerfofxis erf(x)=2√π∫x0e−t2dt. ...
Find Cumulative Distribution Function of Normal Distribution Copy Code Copy Command The cumulative distribution function (CDF) of the normal, or Gaussian, distribution with standard deviation σ and mean μ is ϕ(x)=12(1+erf(x−μσ√2)). Note that for increased computational accuracy, you ...
The Gaussian error linear unit (GELU) activation operation weights the input by its probability under a Gaussian distribution. This operation is given by GELU(x)=x2(1+erf(x√2)), where erf denotes the error function given by erf(x)=2√π∫x0e−t2dt. When the Approximation option...
y = gaussmf(x,params) returns fuzzy membership values computed using the following Gaussian membership function: f(x;σ,c)=e−(x−c)22σ2 To specify the standard deviation, σ, and mean, c, for the Gaussian function, use params. Membership values are computed for each input value in...
For expressions of the form1 - erfc(x), use the error functionerfinstead. This substitution maintains accuracy. Whenerfc(x)is close to1, then1 - erfc(x)is a small number and might be rounded down to0. Instead, replace1 - erfc(x)witherf(x). ...
(p_train,t_train,'KernelFunction','gaussian'); %% 模型预测 t_sim1=predict(Mdl,p_train); %训练集预测结果 t_sim2=predict(Mdl,p_test); %测试集预测结果 %% 数据反归一化 T_sim1 = mapminmax('reverse', t_sim1, ps_output); T_sim2 = mapminmax('reverse', t_sim2, ps_output); T_...
function y=show_noise(type,x,a,b) %show_noise 显示不同噪声的概率密度函数 %type 噪声种类 %高斯噪声 gaussian %瑞利噪声 rayleigh %伽玛噪声 gamma %指数噪声 exp %均匀分布噪声 uniform %椒盐噪声 salt & pepper %设置默认噪声类型 if nargin==1 type='gaussian'; end switch lower(type) %高斯噪声 ...
case 'gaussian' filtered_img = imgaussfilt(img, 2); case 'average' filtered_img = imfilter(img, fspecial('average', [5 5])); otherwise error('Unknown filter type'); end end 以下是图像保存模块的示例代码: function save_image(img, file_path) ...
function K=con_K(x,y,beta) if nargin<3 error('Error! Not enough input parameters.'); end ks=-2 * beta^2; [n, d]=size(x); [m, d]=size(y); K=repmat(x,[1 1 m])-permute(repmat(y,[1 1 n]),[3 2 1]); K=squeeze(sum(K.^2,2)); K=K/ks; K=exp(K);cost...