Flow-Calculation-Based-on-Matlab

路径识别的一些程序，matlab运行的，是现在最好的，有解释。(Some of the path identification procedures, matlab run, is now best to explain.)

说明：  离散动力学模型预测中国30年以后得艾滋病人数(Discrete kinetic models to predict the 30 years after AIDS was the number of)

base paper is describing the file aC to DC concepts in matlab simulation concept

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other, making it a non-probabilistic binary linear classifier. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.

说明：  GP算法计算嵌入维数，包括了关联维数的程序等等都集合在里面 可以看到源程序，加入了典型混沌数据供各位同行进行分析。(GP algorithm embedding dimension, including the correlation dimension of the program, etc., which can be seen in the collections of the source, adding the typical chaos for colleagues to analyze the data.)

估计一个点云数据的表面法线，表面法线是几何体表面的重要属性。(A point estimate the surface normal, surface normal geometrical surface cloud data is an important attribute volume.)

multi input pv for distributed applications

模式识别，感知器训练算法Matlab演示(Pattern recognition, perceptron training algorithm Matlab demo)

说明：  《MATLAB 7.0编程基础》第5章 （源码实例）主要讲解MATLAB的编程基础("MATLAB 7.0 programming foundation" Chapter 5 (source code examples) mainly on the basis of MATLAB programming)

his program solves a linear equation system Ax=b with Gauss Elimination method.