IEEE14-nodes

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

可以对给定的对象数据特征进行分类，里面的程序可以很好的运行，希望共同讨论运用 。(Characteristics of a given object data classification, which the program can run, I hope to discuss the use )

斯坦福大学机器学习课程的一个源代码例子，对于机器学习和deep learning的学习研究很有帮助(this codes are from standford university,which are about machine learning and deep learning.they will be helpful in this research field)

liner fuzzy inverted pendulum

Signal_System Lab_5

matlab的经典案例，小程序，适用于初学matlab的同学(matlab classic cases for student who are learning matlab)

用于读写适合支持向量机算法数据格式的matlab程序(For reading and writing data for support vector machine matlab program format)

说明：  matlab语言的算法大全，有插值，函数逼近，数值积分等等算法。(Guinness algorithm matlab language, there are interpolation, function approximation, numerical integration algorithm and so on.)

说明：  提出了一种基于改进型微粒群算法的无线传 感器网络分簇路由算法来优化分簇过程。簇首节点的选取综合考虑候选节点和邻居节点的状态信息(Proposed a modified particle swarm algorithm based on wireless sensor network clustering routing algorithm to optimize the clustering process. Cluster head node, considering the selection of the candidate node and the neighbor node state information)

A MIMO subspace system Identification method