一个小小的人工智算法

本程序是用java语言编写的数据挖掘分类算法中的决策树分类方法c4.5程序代码-this procedure is used java language classification of data mining algorithms decision tree classification code Bank

遗传算法在tsp中的应用-genetic algorithm in the application tsp

BP神经网络预测-BP neural network prediction

用于求解TSP问题的matlab源代码，需要读取距离矩阵-Used to solve TSP problem matlab source code, need to read the distance matrix

语音信号处理工具包,里面提供了很多有用的操作。这是最新版本-voice signal processing tool kit containing a lot of useful operation. This is the latest version

遗传算法通用平台- Heredity algorithm general platform

遗忘因子法递推算法用于估计数学模型的参数,精确度较高!-Forgetting factor recursive algorithm method used to estimate the parameters of the mathematical model, high accuracy!

< 网络机器人java编程指南>>的配套源程序，研究如何实现具有Web访问能力的网络机器人的书。从Internet编程的基本原理出发，深入浅出、循序渐进地阐述了网络机器人程序Spider、Bot、Aggregator的实现技术，并分析了每种程序的优点及适用场合。本书提供了大量的有效源代码，并对这些代码进行了详细的分析。通过本书的介绍，你可以很方便地利用这些技术，设计并实现网络蜘蛛或网络信息搜索器等机器人程序。-lt; Lt; Java Web Robot Programming Guide gt; Gt; The matching source to study how to achieve the ability to visit the Web network robot book. Internet programming from the basic principles and simple, step by step elaborate procedures of the network robot Spider, Bot, aggregator of technology, and analysis of the merits of each procedure and applicable occasions. The book provides plenty of source code, as well as code for a detailed analysis. Through the book, you can easily take advantage of these technologies, network design and network information spider or other search engine robot procedures.

对文件实现用DES加密算法-right documentation can be achieved using DES encryption algorithm

本人编写的GramSchmidt神经网络算法，和传统的神经网络算法比较，该算法能自动产生神经元，节约时间，速度快！ 本人还加了自动产生分类的方法和适合各种函数的转换，该zip包括两个文件，一个是GramSchmidt正交分解，是个子函数，主函数是orth_GramSchmidt，放在同一目录下，就可运行，可以对benchmark的逼近和分类问题提供解决方案-I prepared GramSchmidt neural network algorithm, and the traditional neural network algorithm, the algorithm can automatically generate neurons, saving time, fast! I also added a method of automatically generated classification and conversion for a variety of functions, the zip includes two documents, one is GramSchmidt orthogonal decomposition is a sub-function, the main function is orth_GramSchmidt, on the same directory, you can run can benchmark approximation and classification problems to provide solutions