10948201

说明：  k-means 算法接受输入量 k ；然后将n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。(The k-means algorithm accepts the input k; then divides n data objects into k clusters in order to make the obtained cluster satisfy: the similarity of objects in the same cluster is high; and the similarity of objects in different clusters Smaller.)

no_lenaire_model matlab similunk

PDF+论文算法实现源代码"Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse"由莱斯利N.史密斯和迈克尔·埃拉德，IEEE信号处理快报（2013年）(PDF+ thesis algorithm source code " Improving Dictionary Learning: Multiple Dictionary Updates and Coefficient Reuse" by the Er Ai Leslie N. Smith and Mike Ladd, IEEE Signal Processing Letters (2013))

讲述了极限学习机原理、核极限学习机原理及其在分类问题中的应用(Tells the story of extreme learning machine principle and its application in the classification in question)

RKDG（荣格库塔——间断有限元）方法计算一维波动初值间断问题(RKDG (-- Carl Jung Runge Kutta discontinuous finite element method to calculate the initial value) of one dimensional wave discontinuous problems)

indirect genetic adaptive controller

基于matlab的elam神经网络模型源程序，反馈性神经网络，输出不仅与输入有关还与以前的输出有关。(Matlab neural network based model of elam source, feedback neural network, the output and input not only related with the previous output.)

相关ARQ中调制解调的源代码！！！！！！(ARQ in the source code modulation and demodulation)

to generate pulses for controlling an inverter

利用SOM神经网络设计矢量量化的码书，结果优于传统的LBG方法，失真度较小。(SOM neural network design use vector quantization codebook, the result is better than traditional methods LBG, distortion is small.)