lyapunovexponenoflorenz

说明：   A code for basic digital image processing

猴群算法在参数优化中的应用，用来选择最优的参数值(Monkeys in the parameter optimization algorithm, used to the optimal parameter values)

combining kalman & imm

基于直方图最大熵的目标提取算法，打包文件里含有完整的matlab程序，还有运行时的标准图片(Histogram extraction algorithm based on maximum entropy objective, packed file contains the complete matlab procedures, standards, as well as run-time images)

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.)

应用matlab Java Builder实现matlab的Web应用部署的一个简单示例，测试方法在doc文档。(Matlab Java Builder realize the application of the Web application deployment matlab a simple example to test the method in the document doc.)

说明：  数据挖掘算法，support vector machine算法源代码，用于分类(data mining algorithms, support vector machine algorithm source code for classification)

solving TSP problem with SA

LDA 算法入门 黄晟2010-04-03 重庆大学行业信息化工程中心(LDA algorithm Started Huang Sheng 2010-04-03 Chongqing University Engineering industry information center)

kalman滤波的matlab实现，非常实用(Kalman Filter Implementation of Matlab, very practical)