zishiyinglvbo

说明：  是对遗传算法和神经网络的讲解，自己感觉比较好，所以就传了(Is a genetic algorithm and neural network to explain that he felt better, so I passed on)

基于Matlab语言的Monte_Carlo入门教程，非常实用！(Based on Matlab Monte_Carlo introductory tutorial, very useful!)

A four-wheel Vehicle model by Matlab Simulink

在轴箭头绘制坐标空间是很困难的，因为Matlab的内置函数图工程箭头坐标空间。这个函数的轴到图坐标计算及放置在正确的位置注释箭头。它还提供了一个按钮式功能重新同步线和箭头如果调整轴或人物，或变更线的属性。(Plotting an arrow in axis coordinate space can be difficult, since Matlab s built-in arrow function works in figure coordinate space. This function does the axis-to-figure coordinate calculation and places an annotation arrow in the correct location. It also provides a button-down function to re-sync the line and arrow if you resize the axis or figure, or change the line properties.)

基于matlab/simulink的三相PWM整流器仿真建模，希望对大家有所帮助(Based on the three-phase PWM rectifier simulation modeling matlab/simulink, I hope to help everyone)

对k近邻方法进行改进，knn方法中自动获取k值(Automatic selection of K value in KNN algorithm)

说明：  A commonly used control device called a programmable logic controller, or a PLC, is used to read a set of digital and analog inputs, apply a set of logic statements, and generate a set of analog and digital outputs. Using the example in the previous paragraph, the room temperature would be an input to the PLC. The logical statements would compare the setpoint to the input temperature and determine whether more or less heating was necessary to keep the temperature constant. A PLC output would then either open or close the hot water valve, an incremental amount, depending on whether more or less hot water was needed. Larger more complex systems can be controlled by a Distributed Control System (DCS) or SCADA system.

Robust Non-negative Dictionary Learning for Visual Tracking The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or run on individual sequence. To run the benchmark, just put the entire folder into the /trackers folder in the benchmark code base, and modify the configTrackers.m in util folder. DLT gets an AUC of 0.436, which ranks 5th among 26 in the benchmark by 19/03/2014. We don t tune parameters for single sequence in this case, all the parameters are stored in trackparam_DLT.m. To run on individual video, you need to modify the dataPath and title in run_individual.m. If you run MATLAB version after 2012, and have a CUDA compatible GPU installed, you may enjoy the fast computation speed by GPU, just set useGPU to true in trackparam_DLT.m and run_individual.m!

Saturatec reactor simulation in matlab code

ENERGY DETECTION THRESHOLD