example2

上一个的继续,连续有九个压缩文件,大家可以打开解压后自己慢慢享用,这个都是本人调试通过了的,希望共同进步!(A continuation of a row has nine compressed file, everyone can open their own after extracting slowly to enjoy, this is my debug adopted, and I hope common progress!)

连续搅拌釜式反应器过程的PCA故障检测与诊断(Continuous stirred tank reactor process fault detection and diagnosis of the PCA)

本仿真采用dq原理检测谐波,采用PI闭环控制策略(This simulation uses DQ principle to detect harmonic, and adopts PI closed-loop control strategy)

最新版本libsvm，快点珍藏吧，很有用啊(The latest version of libsvm, quick collection of it, very useful )

BP神经网络的应用案例，从其它地方找的，描述数据箱客运量(Applications BP neural network, from elsewhere)

模拟退火算法潮流计算程序，包含一个对模拟算法介绍的ppt(Simulated annealing algorithm The power flow calculation program contains a ppt for the simulation algorithm introduced)

MATLAB程序设计bar源码MATLAB programming bar source(MATLAB programming bar source MATLAB programming bar source)

互信息相关的一些资料和代码，比较有借鉴意义的，大家可以看一下(Mutual information related to some of the information, more reference, we can look at)

a paper explains the mesh generation technique for computational fluids dynamics

Using TF-IDF to Determine Word Relevance in Document Queries : In this paper, we examine the results of applying Term Frequency Inverse Document Frequency (TF-IDF) to determine what words in a corpus of documents might be more favorable to use in a query. As the term implies, TF-IDF calculates values for each word in a document through an inverse proportion of the frequency of the word in a particular document to the percentage of documents the word appears in. Words with high TF-IDF numbers imply a strong relationship with the document they appear in, suggesting that if that word were to appear in a query, the document could be of interest to the user. We provide evidence that this simple algorithm efficiently categorizes relevant words that can enhance query retri