本程序用来实现模式识别中二维线性变换的分类其设计-the procedures used for pattern recognition of two-dimensional linear transform its design classification

学进一步了解分类器的设计概念，能够根据自己的设计对线性分类器有更深刻地认识，理解Fisher准则方法确定最佳线性分界面方法的原理，以及Lagrande乘子求解的原理。-school with a better understanding of classification of the design concept, According to the design of linear classification for a more profound understanding, Fisher

基于感知器算法的线性分类实例，对鸢尾花Iris数据进行两两分类-Linear classification based on perceptron algorithm to the data of Iris

机器学习相关内容，基于matlab仿真，实现了线性回归分类器的功能-Files included in this exercise ex1.m- Octave scr ipt that will help step you through the exercise ex1 multi.m- Octave scr ipt for the later parts of the exercise ex1data1.txt- Dataset for linear regression wit

BP网络实现分类问题；一，问题的提出；根据感知器的的相关理论易知感知器善于解决线性可分；反向传播网络（Back-PropagationN；一个具有r个输入和一个隐含层的神经网络模-The BP network realization categorizes a problem A, the problem puts forward Knows a machine according to the feeling of of the related theory easy to underst