线性判别分类器在虹膜数据集上的应用

一个用来测试神经网络的程序。在matlab中直接打开即可。-a neural network used to test procedures. In Matlab can be opened directly.

有关粒子群算法的求解tsp的c++程序。-the PSO for the c tsp procedures.

使用最小二乘支持向量机对多维pyrim数据进行回归，需要下载最小二乘支持向量机工具箱。-use of least squares support vector machines for multidimensional data pyrim return need to download least squares support vector machines toolbox.

基于遗传算法改进的稀疏分解算法，已调试过了，写论文是编写的-Based on genetic algorithm to improve the sparse decomposition algorithm, has been testing and writing papers are prepared

6。《非数值并行算法――遗传算法》，刘勇等着 科学出版社 1995年第一版 本书系统地叙述了非数值并行算法之一的模拟退火算法的基本原理以及最新进展，同时为了便于读者解决实际问题，书中对具体算法的步骤作了详细介绍。本书共分七章，第一章介绍算法的思想、特点。发展过程和前景。第二章介绍算法的基本理论。第三章讨论算法解连续优化问题。第四章利用算法设计和优化神经网络。第五章介绍在组合优化中的应用。第六章介绍应用遗传程序设计解决程序设计自动化问题。第七章对遗传算法和其它适应性算法进行比较。 本书可供高校有关专业的师生、科研人员、工程技术人员阅读参考。-6. "Non- numerical parallel algorithms-- Genetic Algorithm" Liu Yong waiting 520-531 1995 version of the first book to systematically describe the non- numerical parallel algorithms one count of simulated annealing Law and the basic tenets of the latest progress, in order to help readers solve practical problems, book of the specific algorithm steps in detail. The book is divided into seven chapters, the first chapter describes the idea algorithm, characteristics. The development process and prospects. The second chapter describes the basic algorithm theory. The third chapter discusses Algorithm for continuous optimization problems. Chapter IV using the algorithm design and optimization of neural netw

神经网络OOP类库，含有BP网络等的训练，很容易对其进行扩展，-neural network OOP libraries, containing BP network of training, it is easy to extend them

可以自动识别一个程序中调用的所有函数，并写入到 output.txt文件中。-can automatically identify a process called all functions, and write to output.txt document.

基于Web页面的人工智能控件例证 [VB源码]-Web page based on the example of artificial intelligence control [VB code]

这是一种利用bp神经网络来解决异或问题的算法.-bp using neural networks to solve the problems or differences algorithm.

apriori算法是数据挖据中的经典关联规则挖掘算法，是由aggwal最早提出来的-apriori algorithm is data-dug, according to the classical association rule mining algorithm is put forward as early as aggwal