single_tank_control_pid

ABOUT MY FINAL DEGREE OF FEAL DATA

水平集分割图像，有好几个水平集的算法，国外的学者写的，有文章介绍用法水平集分割图像，有好几个水平集的算法，国外的学者写的，有文章介绍用法(Level set segmentation image, there are several level set algorithm, written by foreign scholars, an article describes usageLevel set segmentation image, there are several level set algorithm, written by foreign scholars, an article describes usage)

家庭理财统计！可以在一定的时间一定的消费类型消费人员金额等等的统计！(Family financial management and Statistics! At a certain time a certain amount of the consumption type of consumption, personnel statistics, etc.!)

粒子群寻优。 利用粒子群寻优的方法，对神经网络进行训练。(Particle swarm optimization. The use of particle swarm optimization method for neural network training.)

用于分类的相关向量机（RVM）算法，可以实现很好的分类。(RVM algorithm can be good for classification. )

code of linear programing in matlab

灰色模型GM(1,1)原始数列经过光滑优化(Gray model GM (1,1) with smooth Optimized original series)

Nonlinear Optimization Applications

Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.

ACCV的一篇论文以及源代码，不是我写的只是搬运到这里而已，具体请访问论文中作者的网页。改进Harris的角点检测，主要改进在：1、是在加权模板选择了各向异性的模板代替了各向同性的高斯模板；2、选择使用多尺度滤波器对图像进行处理，使算法具有一定的多尺度特性。(This is paper with code,which published on ACCV.I m not the author of this paper.If want to know more,please vistor the home page of the author.Major improvements of this paper is focus on: 1 Using a bilateral filters insteal of the isotropic Gaussian kernel for weighted template selection 2、Using Multi-Scale filter which make the algorithm can detect the multi-scale corner in the image)