Prueba

在原始的 fcm 算法基础上，对算法中的聚类数 c 和加权指数 m 给出优选方法， 进而而出了 fcm 参数优选自适应算法，通过人造数据与具有实际背景的数据验证可以看出 该算法是有效的，该算法不但可以自适应的给出最佳的聚类数，而且可以验证聚类的有效性， 达到最佳聚类的目的(Fcm algorithm in the original, based on the number of clustering algorithms and the weighted index m given c preferred method, and then out of the fcm parameter optimization adaptive algorithm, synthetic data and practical background in data validation can be seen that the algorithm is effective, the adaptive algorithm can not only give the best number of clusters, and clustering can verify the validity of the purpose to achieve the best clustering)

关于太空docking的一些论文文献，特地拿来共享一下 A number of papers on space docking literature, specially brought about sharing(A number of papers on space docking literature, specially brought about sharing)

matlab source code tower of hanoi!! good luck!

Simulated anealing program

双基（机载）合成孔径雷达测高——比较没技术含量，因为用的方法是斜距差，没用相位差（还没研究出来），所以误差有点大。(Double-base (Airborne) synthetic aperture radar altimeter- not the technical content of comparison, because the methodology used is inclined away from the poor, no phase difference (not finding out), so a bit big error.)

SLAM算法程序，来自悉尼大学的作品，主要功能是实现SLAM算法。(SLAM algorithm, works from the University of Sydney, the main function is to achieve the SLAM algorithm.)

金融数据分析的一个新的程序码 可应用于数据分析 价格以及期货指数估计 还可用于 几何布朗运动的模拟("An estimation technique for Time Indexed gaussian Mixture Models", we propose a model specification that can be used to describe data with spikes, jumps, mean reversion, geometric brownian motion, you name it... We then develop an estimation procedures to extract the parameters from data generated from this model. The original intent was to develop a model for electricity price spike, however it can be extended far beyond this. A more general extension of this basic idea using particle filtering is developed in another paper.)

基于 matlab 的三角分解法，推荐(based on Matlab 1.3 decomposition method, recommended!)

one-hour battery multi-charger for Ni-CD , Mi-Mh , Li-Ion (from ST)

从语音中提取出的LPC参数，并用人工神经网络进行语音识别(Extracted from the voice of the LPC parameters and artificial neural networks for speech recognition)