Xie Datong Guo Tao algorithm (function optimization) source code download, and s...

遗传算法的原代码，用于最优化计算，只需解压便可使用。-Genetic algorithm source code for the optimization calculation, just unzip to use.

用C++编写的遗传算法，涵盖较多内容，有文档-prepared by the genetic algorithm, covering more content, documents

基于遗传算法和bp网络的简单人脸识别，只能识别三种表情。图像经过简单的小波变换处理-Bp networks based on genetic algorithm and a simple face recognition, could only identify three kinds of expressions. After a simple wavelet transform image processing

Adaptive Resonance Theory Brain Modeling 人工智能人工神经网络源码-Adaptive Resonance Theory Brain Modeling artificial neural network artificial intelligence source

模式识别中的寻路算法：A星算法的实现及简单应用-Pattern Recognition routing algorithm: A Star algorithm and a simple application

神经网络技术及其在物化探上的应用，重磁反演的拟人工神经网络BP算法及其应用等。-matlab

该程序是基于BP网络的PID控制系统。系统由两部分构成：经典的PID控制器和神经网络。-that the procedure was based on BP network PID control system. System consists of two parts : the classic PID controller and neural networks.

　人工神经网络(Aartificial Neural Network，下简称ANN)是模拟生物神经元的结构而提出的一种信息处理方法。早在1943年，已由心理学家Warren S.Mcculloch和数学家Walth H.Pitts提出神经元数学模型，后被冷落了一段时间，80年代又迅猛兴起［1］。ANN之所以受到人们的普遍关注，是由于它具有本质的非线形特征、并行处理能力、强鲁棒性以及自组织自学习的能力。其中研究得最为成熟的是误差的反传模型算法(BP算法，Back Propagation)，它的网络结构及算法直观、简单，在工业领域中应用较多。-Artificial Neural Networks (Aartificial Neural Network, under the short title of ANN) is a simulation of the structure of biological neurons and the information put forward a method of treatment. At early 1943, by Warren S. Mcculloch psychologists and mathematicians Walth H. Pitts proposed mathematical model of neurons, was left out in the cold for some time, and the rapid rise of the 80" s [1]. ANN because the general concern of the people is the essence of it is because of the non-linear characteristics of parallel processing capabilities, strong robustness and self-organizing capacity of self-learning. Research one of the most sophisticated are the error-propagation model of the algorithm (BP algorithm, Back Pro

这是一个模式识别中的留一法算法的一个简单仿真分类实例，其中female.txt和male.txt是训练样本，test.txt是测试样本，分类效果非常好，对于模式学习的初学者将会有很大帮助。-This is a pattern recognition algorithm for leave-one simulation of a simple classification example, is one of female.txt and male.txt training samples, test.txt is the measurement, classification effect is very good for beginners will be learning model there is a great help.

蚁群算法的C++实现,让读者更清晰的了解蚁群算法的完整思路-Ant colony algorithm C++ Realize, to give readers a clearer picture of the integrity of the idea of ant colony algorithm