phd

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)

创建随机场仿真模拟，通过具体算例的程序创建随机场(random field creation)

本书基于matlab6.5的图象处理工具v3.2编写，全面系统地介绍图象处理工具v3.2函数在图象处理个方面的实际应用。(This book-based image processing tools matlab6.5 prepared v3.2, a comprehensive and systematic introduction to image processing tools v3.2 image processing function in the practical application of aspects.)

特别功能测试样例测试程序，为保障有效运行，请注意安装环境软件的版本正确与否(special function test program )

this is a very interesting paper, ple read it A paper related with MIMI, I will upload source code lalter

说明：  matab遗传算法工具箱以及极限学习机+遗传算法优化压缩包(Genetic Algorithm toolbox for matlab 2020b and Limit learning machine + genetic algorithm optimization package)

图像傅里叶变换，matlab模拟成像过程的双缝干涉图形(Image Fu Liye transform, matlab simulation of the imaging process of double slit interference pattern)

含分布式发电的配电网有功-无功综合优化，分布式电源包含风机光伏和无功补偿装置(Active/reactive power integrated optimization in distribution networks with distributed generation)

Bayesian Object Detection in Dynamic Scenes

从电脑中选择一个图片，本程序可对图片完成类型转换，几何运算，代数运算（平均法降噪和减数运算），傅里叶变换，图像增强（包括灰度值变换，直方图均衡化，邻域平均法和中值滤波波法），图像复原，图像分割等功能。(Choose a picture from the computer, this program can complete type conversion, geometric operation, algebraic operation (average noise reduction and reduction), Fourier transform, image enhancement (including gray value transformation, histogram equalization, neighborhood averaging and median filtering wave method), image restoration, image segmentation and other functions.)