myneidianfa

说明：  CA算法可以将数量型属性划分成若干个优化的区间，它综合了分层聚类于划分聚类的优点，对于给定的不同的初始类个数，CA算法能随着迭代过程的不断进展改变类的数目，一些竞争力差的类即类的基数小于给定阙值的类将在迭代过程中不断消失，最终得到能够有效体现数据实际分布情况的优化聚类个数。(CA algorithm for quantitative attributes can be divided into a number of the interval optimization, hierarchical clustering which combines the advantages of clustering in the division, for a given number of different types of initial, CA algorithm as the iterative process the continuous progress of change in the number of categories, some categories of poor competitiveness of the base type that is less than the value of a given category Que iterative process will continue to disappear and eventually be able to effectively reflect the actual distribution of data to optimize the number of clustering.)

CLOCHE sound spectrum analysis, the synthesis of electronic music synthesis of the sound source, as well as wav files

developing neural networks with matlab

优于Kalman滤波的粒子滤波在目标跟踪中的应用，幻灯片(Kalman filtering is superior to the particle filter in the target tracking application, slide)

用MATLAB计算多线连接的波导网络系统的频谱结构(Calculated using MATLAB waveguide multi-line network connected to the spectral structure)

讲述如何用MATLAB实现绘图功能的PPT(This teaches you how to picture。)

基于matlab的对运动目标的检测程序，可以实现固定背景下运动目标的检测(Matlab-based moving targets on the testing procedures, can be fixed against the background of the detection of moving targets)

Forecast ARIMA process

粒子滤波在导航上的应用，含有注释和说明，有利于明白粒子滤波的原理(Particle Filter in the navigation on the)

删除矩阵中某行某列,可以使数据处理更加合理。(Delete the matrix in a column in a row, can make data processing more reasonable.)