adelantadordefase

Matlab toolbox neural network function neural network 06b AIDS on neural network toolbox

说明：  基于MATLAB的图像读取程序源码----针对PGM文件的读取(MATLAB code of read PGM image )

Matlab编程的简单资料讲解，内容包括用Matlab绘图(Information to explain the simple Matlab programming, including graphics with Matlab)

OFDM系统仿真，所用的源代码 ，用matlab软件进行仿真(OFDM system simulation, using the source code with matlab software simulation)

混凝土框架弹塑性地震响应分析,采用三次三线性退化模型(seismic response of RC structure)

matlab的源程序，能够显示出图像的灰度分布的直方图，好像用matlab的人不多阿(Matlab source, can display the image histogram of the distribution of gray, like using Matlab A few people)

能模拟物理光学实验，简单方便，不用去实验室就可以得到想要的结果！(this program simulate the physical optics experiment, simple and convenient, need not go to the lab can get the desired results!)

做DEA用的,功能很强大,大家可以试试看,真的很好用(DEA do use, very powerful, we can try, really well)

恒润公司的matlab设计学习资料，基于matalab的模糊系统设计，基础类书籍(Hengrun the company' s matlab design learning materials, based on matalab fuzzy system design, basic books)

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.)