经典的SOM人工神经网络例子源码，经测试可用，可作入门学习用...

基于bp人工智能的图像识别的技术，配套源代码-bp artificial intelligence-based image recognition technology and supporting source code

根据人工智能的模糊理论编写的温度控制程序，实现对温度的模糊控制-under artificial intelligence theory of fuzzy prepared by the temperature control process, the temperature of Fuzzy Control

神经网络蚁群算法，共三段，非常有用，快来下啊-Ant colony algorithm for neural networks, a total of three sections, very useful

这是一个神经网络开发包。目录ann下是专门针对神经网络的代码，外部目录是一些公用的代码，与神经网络无关，但是神经网络的代码用到了它们。 ann目录下有一个目录demo，里面存放了一些示例程序，请参照它们进行编程。 ann/prj/vs7下是编译整个库的Visual Stdudio 2003工程文件-This a neural network development kit. Ann directory under specific neural network code, external directory is some common code, has nothing to do with the neural network, but neural networks use of their code. Ann directory is a directory demo, stored inside a sample program, please refer to their program. Ann/prj/vs7 under compiler for the entire 2003 Visual Stdudio engineering documents

BP批处理源代码，可自由选择三层或多次网络，和神经元数目-BP batch source code, the freedom to choose three or more networks and the number of neurons

遗传规划算法的VC程序实现 智能算法：遗传规划，即关于GP的VC代码程序，在项目文件中包含了GP的程序设计代码和经典问题求解程序。可以参考该程序进行遗传规划的程序设计工作，用于自己的毕业设计中。-genetic programming algorithm for the VC program Intelligent Algorithm : genetic programming, on the VC GP code procedures, the project document contains GP programming code and classic problem solving process. Can refer to the procedures of genetic planning process design work for their graduation design.

//开发平台：Microsoft .NET Framework 2.0，Microsoft Visual C# 2005 Express //日期：2005.3.12 //作者：刘波 //粒子群优化算法(PSO)：本算法求目标函数的最小值-//development platforms : Microsoft.NET Framework 2.0, Microsoft Visual C# 2005 Express// Date : 2005.3.12// Author : Liu Bo// Particle Swarm Optimization (PSO) : The algorithm for the minimum objective function

这是一个用MATLAB写的模拟退火算法程序。-This is a written with MATLAB procedure simulated annealing algorithm.

遗传算法的C语言计算，同时以文本的方式输出和图形的方式输出。-genetic algorithm in C language, while the text and graphic output of the output.

神经网络的运用，比较基础，对初学者比较有用-The use of neural networks, basis of comparison, more useful for beginners