Matlab-Apf

说明：  genetic algorithm implementation in matlab

基于灰色系统的数据预测算法实现，算法基本正确。(Based on the gray system data prediction algorithm, the algorithm is correct.)

利用matlab对图像所感兴趣的区域进行面积计算并且求解(Use matlab image of the region of interest and area calculations carried out to solve)

双线性内插,图像放大缩小，简单容易学，好理解，上手快(Bilinear interpolation, image zoom, simple and easy to learn, easy to understand, quick)

实现VC与MATLAB的无缝对接，让您能轻松的将matlab程序移植到VC平台，并能脱离matlab平台运行，程序中使用了matcom进行编程，并有详细的调试说明。绝对值得下载哦。。。(VC and MATLAB to achieve a seamless connection, so you can easily migrate to matlab program VC platform and can run from the matlab platform, procedures matcom used to program and debug a detailed description. Oh, definitely worth downloading. . .)

matlab小波变换源代码，供广大研究者学习(matlab wavelet transform source code, for the majority of researchers to learn)

说明：  A ROBUST FAST RECURSIVE LEAST SQUARES ADAPTIVE ALGORITHM

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)

Matlab数学建模算法全收录，数学建模需要的大部分算法，模型都有(Matlab mathematical modeling algorithm all included, mathematical modeling needs most of the algorithm, the model has)

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