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数据组合方法研究，该方法是以多项式为基础通过不断筛选组合来辨识非线性系统的模型。该文章详细介绍了该方法的发展及实现步骤。针对该方法中的不足，提出改进措施(Data combination method, the method is based on the polynomial basis through continuous screening combination to identify the model of the nonlinear system. The article describes in detail the development and implementation steps of the method. Deficiencies in the methods, suggest improvements)

说明：  毕业设计+毕业论文全套 欢迎下载参考！！！！！！！！！！！(Graduation project + graduation thesis full set welcome to download for reference)

本压缩包包括matlab的顶点覆盖近似算法、哈密尔顿回路、模拟退火应用、最大流和最小截、最短路和次短路、最短路径、最小生成树prim算法等，带有源程序和中文说明文档，此文件夹中的文件，如需被利用，则要直接放至work目录下。(The compressed packet including matlab vertex cover approximation algorithm, Hamilton circuit, simulated annealing, maximum flow and minimum cross-sectional, short-circuit and times of short-circuit, the shortest path, minimum spanning tree prim algorithm with source code and Chinese documentation, thisfile folder for use, will have to be placed directly under the work directory.)

lssvm 最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测(Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction)

bluetuch 检测程序,bluetuch 检测程序(bluetuch test source code .bluetuch test source code )

说明：  灰色预测模型的matlab代码，大家可以根据自己的需要修改(Gray prediction model matlab code, you can modify according to their own needs)

1、系统仅处于训练状态。训练序列为2cos(2π×f1×n/fs)， 干扰为sin(2π×f2×n/fs)；序列长度为100个样点。 其中n=0…99，f1=1kHz，f2=2kHz，fs=8kHz。 2、采用LMS算法，均衡器输入为训练序列加上干扰，均衡器阶数为21阶，步长因子β=0.01。 3、在Matlab中编写浮点LMS算法，绘制均衡器的输出波形，并与训练序列进行对比。 (1, the system only in the training status. The training sequence is 2cos (2πf1n/fs), interference sin (2πf2n/fs) sequence length of 100 samples. Where n = 0 ... 99, f1 = 1kHz, f2 = 2kHz, fs = 8kHz. 2, using LMS algorithm, the input to the equalizer training sequence plus interference equalizer order is 21 bands, step factor β = 0.01. 3, the preparation of the floating-point LMS algorithm in Matlab, draw the output waveform equalizer, and with the training sequence comparison.)

运用最小二乘法进行风电功率拟合，再使用它进行预测，含数据和实际案例(Using the least squares method to fit wind power, and then use it to predict, including data and actual cases)

蚁群算法、TSP、MATLAB。已经调试通过，算法比较简洁。(Ant colony algorithm, TSP, MATLAB. Has been debugged, the algorithm of relative simplicity.)

to identify round objects depend on camera and background difference