the-distance

fuzzy c means clustering

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

Create a Neural Network with matlab

小波去噪matlab程序，有demo，本人已运行，能用，大家可以试一试。(Wavelet denoising matlab program, demo, I have to run, can be used, we can try.)

Debye级数展开模型，计算均匀球形粒子散射角——散射光强曲线： 1. RB1.m 计算第一类Ricatti-Bessel函数的函数 2．RB2.m 计算第二类Ricatti-Bessel函数的函数 3. Alegendr.m 计算角函数 和 的函数 4. MieCoeff.m 计算米尔系数的函数 5. Amp.m 计算散射光复振幅的函数 6. DebyeIntensity.m Debye级数展开模型画均匀球形粒子散射角-光强图 (Debye series expansion model to calculate the uniform spherical particles scattering angle- scattering intensity curve: 1. RB1.m calculated first class Ricatti-Bessel function of the function 2. RB2.m calculate the second category Ricatti-Bessel function of the function 3. Alegendr.m computing angle functions and function 4. MieCoeff.m Mill coefficient calculation function 5. Amp.m calculate the scattering amplitude recovery function 6. DebyeIntensity.m Debye series expansion model painted uniform spherical particles scattering angle- light intensity diagram)

the is a code compression image in matlab

基于DCT变换的图像压缩，分别给出了灰度图和真彩图的压缩方法。(DCT-based image compression, respectively, are given grayscale and true color pictures of the compression method.)

说明：  simulink 讲解了simulink的主要功能，比较详细(simulink)

求解离散问题的pso aco 算法，含german信用数据库 (Pso aco algorithm for solving the discrete problem with german credit database)

采用最速下降法的AGC仿真，比较了用误差平均和仅用当次误差的控制效果。(The steepest descent method using the AGC simulation, compared with the average error, and only when the second error control effect.)