EE_497_3_cooprelay

Function_estimation Constant Genetic Algo.rar

在MATLAB环境下的量子进化算法及先进的量子旋转门(In the MATLAB environment, the quantum evolutionary algorithm and advanced quantum revolving door)

Display 3D volumetric data such as MRI images dynamiclly. Click on an image to change the position.

基于新的交叉算子的全局与局部实数编码遗传算法GL-25(Global and local real-coded genetic algorithms based on parent-centric crossover operators)

说明：  Adaptive Channel Estimation Using Cyclic Prefix in Multicarrier Modulation System

Generating an Optical Sensor Image From Simulated Movement Data This script (aero_pointer_tracker.m) generates a movie with 64 frames and a frame size of 64 by 64 pixels (at 10 frames per second). The movie contains a simulation of a moving target that is moving through a structured background that is itself moving. A jitter motion caused by random vibration is also generated (in a Simulink® model called "aero_vibrati") and the jitter motion is added into the overall sensor motion. Finally, the image is blurred through a Gaussian optical point spread function. Note: Changing delt here also requires a change in the parameters set-up dialog box in the Simulink model "vibration".

机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等(Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidden Markov model), random trees (random forest), etc.)

说明：  本程序用pca，kpca,svm,pls,fisher，贝叶斯实现cstr和csth过程的故障检诊断，诊断率为百分之九十九，故障识别率为百分之七十四(The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate is seventy-four percent )

改进遗传算法用于结构的损伤识别，克服了传统遗传算法的弊端，精度提高(Improved genetic algorithm for structural damage identification, and overcome the shortcomings of traditional genetic algorithm, improve the precision)

说明：  美国六级谱转换为时域样本的逆傅立叶变换法MATLAB程序(MATLAB Program of Inverse Fourier Transform Method for Converting Six-Level Spectrum to Time-Domain Sample)