它是一个基于遗传算法的优化方法，使用微分运算符。它用于解决带有大量未知事物的优化问题。...

模式识别下的ISODATA算法 例子为IRIS数据库数据-ISODATA algorithm for pattern recognition under the examples for the IRIS database data

遗传算法和神经网络的结合应用，通过Visual C++环境来实现该功能，使计算能力更强-Genetic algorithms and neural networks combination of applications, through the Visual C++ environment to achieve this feature, so that more computing power

一个用Java编写的分形程序。分形(Fractal)理论是Mandelbrot于20世纪70年代提出的一门非线性学科，用于描述自然界中的非平衡非线性复杂系统的有序状态。利用分形算法可以画出千奇百怪的图象。Mandelbrot集和Julia集是分形集合中最基本的两个集合-Using Java to prepare a fractal process. Fractal (Fractal) theory is the Mandelbrot in the 20th century, 70s raised a non-linear science, used to describe the nature of the non-equilibrium nonlinear complex systems in an orderly state. Using fractal algorithm can draw strange image. Mandelbrot set and Julia fractal sets is the most basic collection of two collections

遗传算法的简单程序，可用于离散变量优化，多目标优化等许多领域-the simple procedure can be used for optimization of discrete variables, such as multi-objective optimization in many areas

这是一个研究人工智能中蚂蚁算法的研究性文档,对想了解这方面内容的人相当有益,很难才找到的-This is a study artificial intelligence ant algorithm research documents, to think about it as a very useful one, it is difficult to find the

模式识别在珠宝鉴定中的应用，该文是基于模式识别应用领域的文档类文献。-Pattern Recognition in jewelry appraisal application, the article is based on pattern recognition applications of the document class literature.

本书就使用matlab实现bp神经网络进行了较为详细的说明，书中包含许多具体的实例说明，希望能为大家带来一定的帮助。-book on the use of Matlab bp neural network to achieve a more detailed description of the book contains many specific examples, we hope to bring help to a certain extent.

SOM人工神经网络的经典例子源代码，是真的

决策树分类中经典算法的ID3和Ｃ４．５代码公共包！-Classical decision tree classification algorithm ID3 and C4.5 code public packet!

本程序是数据挖掘中的关联规则模型中著名的Aprior算法的VC实现程序，可用于知识发现、数据挖掘、人工智能、模式识别等领域（请先解压文件）-The code is the VC implementation of the well-known Aprior algorithm in Association Rule Model of Data Mining field, can be used in Knowledge Discovery, Data Mining, AI, Pattern Recognition and so on.(Please unzip the file first)