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semi-supervised MCMC classification

these are thermodynamic codes.

对流体数及设置颜色，添加切片，顶光效果的设置等等(Number of fluid and set the color, add the slices, top light effect settings, etc.)

一碳饱冲GDFNN预测模型，A predictive model of carbon saturated red GDFNN(A predictive model of carbon saturated red GDFNN)

la commande dtc de la gsap

ROC曲线~在信号检测理论中,接收者操作特征(receiver operating characteristic),或者叫ROC曲线是一种对于灵敏度进行描述的功能图像.ROC曲线可以通过描述真阳性率(TPR)和假阳性率(FPR)来实现.由于是通过比较两个操作特征(TPR和FPR)作为标准,ROC曲线也叫做相关操作特征曲线(ROC curve ~ in signal detection theory, the receiver operating characteristics (receiver operating characteristic), or called the ROC curve is a function that describes the sensitivity of the image. ROC curve can describe the true positive rate (TPR) and false positive rate ( FPR) to achieve. because it is by comparing the two operating characteristics (TPR and FPR) as a standard, ROC curve is also called the relevant operating characteristic curve)

ParInfoGain - Computes parallel information gain and gain ratio in Matlab using the Matlab Parallel Computing Toolbox or the Distributed Server (if available) Information gain is defined as: InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute) Gain ratio is defined as: GainRatio(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute). ...where H is the entropy, defined as - sum(i=1 to k) pi log2 pi

说明：  matlab编写的流体计算和传热程序(Matlab 程序)(Matlab calculations prepared by the fluid and heat transfer procedures (procedures Matlab))

PCA algorithm in matlab

此matab函数文件可以用来计算模型的李雅普诺夫指数，用于稳定性分析。(this Lyapunov.m file can be used to compute the lyapunov exponential)