This program reads iid zero

决策树算法 经典的ID3算法 用于决策树规则学习等等 在规则学习以及分类中有重要的作用-classic decision tree mode for classification and rule learning

bp神经网络 c语言程序-bp neural network c Language Program

基于遗传算法的模拟退火-based on genetic algorithm simulated annealing

将遗传算法(GA)与传统SVM算法结合,构造出一种参数最优的进化SVM(GA2SVM),SVM 模型采用径向基函数(RBF)作为核函数，利用格雷码编码方式对SVM算法的模型参数进行遗传编码和优化搜索，将搜索到的优化结果作为SVM 的最终模型参数。-Genetic algorithm (GA) combined with the traditional SVM algorithm, a kind of tectonic evolution of the optimal parameters of SVM (GA2SVM), SVM model using Radial Basis Function (RBF) as kernel function, the use of Gray code encoding algorithm of the SVM model parameters of genetic coding and optimization of search, will search for the optimal results as the final SVM model parameters.

基于RBF神经网络的复杂背景下的运动目标检测论文一篇-RBF neural network based on the complexity of the background of a moving target detection Papers

人工神经网络网上发给我的BP-ANN Internet to my BP

模糊技术与神经网络技术选编-fuzzy and neural network technology Selected

一个神经网络小脑CMACmatlab算法例子- A nerve network cerebellum CMACmatlab algorithm example

1、编制程序显示印章图像（24位真彩色位图）； 2、读出位图中每一像素点的（R，G，B）样本值； 3、以RGB其中某两个（或三个）为坐标，取一定数量的图像点为分析样本，分析其坐标系中的分布； 4、采用本章学习的方法找到分类判别函数，对这些样本进行分类；（要求首先将印章与底纹区分，如有可能将印章、底纹、签字区分） 5、将分类后的结果标记到原始图像上，检查其效果。 -1, the preparation procedures showed that the seal image (24-bit true color bitmap) 2, read out each bitmap pixel (R, G, B) sample value 3 to RGB which a two (or three ) for the coordinates, take a certain number of image points for the analysis of samples, analysis of its coordinate system of distribution 4, the method used in this chapter to learn to find discriminant function classification of these samples for classification (required first to distinguish between the seal and Shading, if possible, will seal, Shading, signatures to distinguish between) 5, will be the result of classification markings to the original image to check its effectiveness.

一个简单遗传算法，用一个测试问题测试,到到得结果比较好-This is a simple genetic algorithm and the algorithm is tested by a test problem, and the result is not bad