Examples-of-annealing-algorithm

使用支持向量机实现对数据的分类工作，精度很高，但是存在运行时间比较长的问题(The use of support vector machine implementation of the classification of data, high accuracy, but the existence of relatively long running time problem)

the attached files is my thesis scratch

本程序的基本功能是对信号进行傅里叶变换，并同时提取出他的时域和频域的特征值。(The basic function of this program is the signal to Fourier transform, and the simultaneous extraction of his time domain and frequency domain characteristic values.)

描述函数法非线性系统分析实例，已经测试可直接在matlab中打开并运行。(Nonlinear system analysis function method described examples have been tested directly in matlab open and run.)

随着计算机技术的迅速发展和越来越广泛深入地应用于国民经济和社会生活的各个方面，随着 软件系统的规模和复杂性与日俱增，软件的生产成本和软件中存在的缺陷和故障造成的各类损失也 大大增加，甚至会带来灾难性的后果。软件质量问题已成为所有使用软件和开发软件的人关注的焦 点。由于软件是人脑的高度智力化的体现和产品这一特殊性，不同于其他科技和生产领域，因此软件与生俱来就有可能存在着缺陷。(With the rapid development of computer technology and the more extensively used in the national economy and social life in all its aspects, with the growing size and complexity of software systems, software production costs and software defects and faults caused various types of losses also increased significantly, even catastrophic consequences. Software quality has become the focus of all those who use the software and software development concern. Because the software is highly intellectual expression and product of the special nature of the human brain, unlike other areas of technology and production, so the software may be born with a defect exists.)

Uniform subset selection with Kennard and Stone algorithm in Matlab

直流斩波电路的模糊控制实现，已发表核心论文，希望大家喜欢(Fuzzy control of the DC chopper circuit core papers have been published, hope you like)

matlab语言的稀疏脉冲反褶积的m文件。(Matlab language sparse pulse deconvolution m files。 )

matlab实现停车位车辆检测，主要是利用hough变换实现车道线检测.本程序先是二值化，滤波处理后，利用hough变化检测车道线，故确定车位位置，在车位内根据颜色灰度检测是否有车。(matlab parking space vehicle detection using hough transform lane detection. This procedure first binarization, filtering, hough change detection lane, so to determine the parking position, in the parking according to the color gray-scale detectioncar.)

NTKL法可以同时检测光谱异常点、参考数据异常点及其他们共同的异常点，该方法的基本思路是基于蒙特卡洛采样，随机将样本集划分为校正集与预测集，用校正集建模，并对没参与建模的样本进行预测误差计算，进行几千次这样随机采样，每个样本点都可得到其预测误差分布。如果奇异样本在校正集中，整个模型的质量将受到影响；相反，如果奇异样本在预测集中，仅此样本的预测结果受到影响。(NTKL method can simultaneously detect abnormal spectrum and abnormal reference data points and their common abnormal point, the basic idea of this method is based on the monte carlo sampling, sample set random be divided into calibration set and prediction set, using correction modeling, modeling and participated in the samples of the prediction error calculation, a thousands of times that of random sampling, each sample point can be obtained the prediction error distribution.If singular samples in correction, the model of quality will be affected.Singular samples in predicting concentration, on the contrary, if only for the sample prediction results are affected.)