gaussian function การใช้

• The Fourier transform of a Gaussian function is another Gaussian function.
• The Fourier transform of a Gaussian function is another Gaussian function.
• Transmissivity has a Gaussian variation is also a Gaussian function.
• Kernel functions commonly used include the Gaussian function and the cubic spline.
• A 2-dimensional Gaussian function is a good approximation for airy disk.
• The Gaussian function is both separable and isotropic.
• Where \ kappa is a falloff parameter that controls the width of the Gaussian function.
• :: Well, strictly speaking a Gaussian function does not have to integrate to one.
• This density might be a Gaussian function centered at a parameter representing the cluster-center.
• Non-linear activation functions that are commonly used include the softmax function, and the gaussian function.
• In practice the beam shape will approximate to a sinc function which itself approximates to a Gaussian function.
• Mathematically, applying a Gaussian blur to an image is the same as convolving the image with a Gaussian function.
• The Gaussian function, which is the probability density function of the normal distribution with mean and standard deviation, naturally contains:
• Joseph Fourier introduced the transform in his study of heat transfer, where Gaussian functions appear as solutions of the heat equation.
• The magnitudes are further weighted by a Gaussian function with \ sigma equal to one half the width of the descriptor window.
• While ANNs often contain only sigmoid functions and sometimes Gaussian functions, CPPNs can include both types of functions and many others.
• The image of Gaussian functions under the Weil Brezin map are nil-theta functions, which are related to theta functions.
• Gaussian functions are among those functions that are elementary but lack elementary antiderivatives; the integral of the Gaussian function is the error function.
• Gaussian functions are among those functions that are elementary but lack elementary antiderivatives; the integral of the Gaussian function is the error function.
• The obvious place to look is Gaussian function .  The preceding talk ) 17 : 13, 28 April 2007 ( UTC ).