RMSE

BP学习算法应用——模式分类 应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类，速度快，精度高。iris.arff为数据库文件，可用Weka数据挖掘软件打开。Iris.csv为源代码读取的数据文件，通过Weka软件转换得到。 将源文件Iris_classify.m和Iris.csv文件放入matlab的work文件夹中直接运行即可。(BP learning algorithm applications- the application of pattern classification momentum BP learning algorithm to provide a classic UCI database- iris database classification, high speed and accuracy. iris.arff for the database file that can be used to open Weka data mining software. Iris.csv for the source code to read the data files have been converted through Weka software. Iris_classify.m the source document and document Iris.csv Add matlab folder of work can be directly run.)

converts cell array into scalar float array (v3.0, dec 2009)

这是有关Matlab的一些电子教案或课件，对于学习Matlab的来将非常有帮助(This is the Matlab lesson plans or the number of electronic courseware for learning Matlab)

机械设计的matlab源程序，很经典的啊！谢谢这个论坛！(Mechanical design matlab source code, very classic! Thanks for this forum!)

嵌入式小波零树（EZW）算法的过程详解和Matlab代码。(EZW code 。)

c程序的105个经典的例子，新手很值得一看。(c program examples of the classic 105, novice is worth a visit.)

说明：  好东西 ，是关于离散卡尔曼滤波的。大家看了就知道了(good stuff is on the discrete Kalman filter. We read on to know the)

考虑两辆车在道路上同向行驶，在O-16s时，两车均保持匀速直线运动，由安装在后车上的车载毫米波雷达检测出与前车的距离为150m，相对速度为-3m/s，方位角 。在16-20s时，前车向右偏转，与后车的相对角加速度为 。后车加速，与前车的纵向相对加速度为 。雷达的扫描周期为T=0.1s，系统噪声为 ， 。量测误差为 。(Consider the two cars traveling the same direction on the road, in the O-16s, the two vehicles are kept uniform linear motion, installed in the vehicle after the car millimeter wave radar to detect the distance of the vehicle in front 150m, the relative speed- 3m/s, Azimuth. In the 16-20s, the first car to the right deflection, and the relative angular acceleration after the car is. After the vehicle acceleration, relative to the vehicle in front of the vertical acceleration. Radar scan period T = 0.1s, the system noise. Measurement error.)

BBHE code Brightness preserving Bi-Histogram Equalization

This is for testing a matlab program.