NeuralNetwork_RBF

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)

this is a fuzzy controller using simulink.

awk scripts for leach

Report for M/M/1 Queuing

这是一个关于图像中值滤波的程序，能够对图像起到滤波的作用，特别是对冲激噪声特别有效(This is an image median filtering on procedures to filter the image play a role, especially for impulsive noise is particularly effective)

Simulated Annealing of matlab

matlab 文件，用于学习m文件，解释m文件的编写及用法，及注意事项(matlab documentation, for learning m paper explaining the preparation of the document m and usage, and Cautions)

做同步可能用到的几种常见的序列，对做同步的同学有很到帮助。(Synchronization may be used in several common sequence)

face recognition based on statistical moments

说明：  使用svm进行数据的预测，首先进行pca对数据进行主元分析，提取有用信息，结果显示数据拟合效果非常好(SVM is used to predict data. first, PCA is used to analyze the data and extract useful information. the results show that the data fitting effect is very good.)