SVM_lzb1p0

采用粒子群矢量量化算法生成图像矢量量化的最优码书，可以任意设定种群数与迭代代数。程序结果产生最优码书与平均误差。(Vector quantization using particle swarm algorithm for optimal image vector quantization code book, can set the number of stocks and iterative algebra. The results of the proceedings arising from the optimal codebook with an average error.)

GA for single machin problem

matlab的支撑向量机工具箱的使用介绍，比较实用的文档(matlab toolbox for the use of support vector machine introduced more practical document )

陈关荣老师的《Lorenz系统族的动力学分析控制与同步》一书的电子版(Chen Guan-Rong teacher, " Lorenz Systems Family Dynamic Analysis of Control and Synchronization," a book of the electronic version of the)

六自由度并联机器人运行轨迹与结果仿真，可以自己改变机器人尺寸大小(6 degree of freedom of parallel robot,simulation)

Matlab图像处理函数大全 对初学者很有帮助(Matlab image processing functions Daquan helpful for beginners)

Matlab中优化多个矩阵相乘以提高计算效率的源代码。(Optimize a number of Matlab matrices to improve the computational efficiency of the source code.)

Simple tcl code for start up in NS_@ simulation

模拟退火算法的MATLAB范例程序！对初步了解的初学者有不错的帮助！(Simulated annealing algorithm MATLAB example program! Preliminary understanding of the beginners have a good help!)

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.)