a Tankedaizhan source code, suitable for beginners VC, and I hope to help you!

机器人仿真软件有助于从事着学习，方便编程操作，能很快的知其原理-Robot simulation software helps to engage with learning, to facilitate programming operations, will soon know the principle of

使用遗传算法、模拟退火算法求解设计结构矩阵，并进行对比分析-The use of genetic algorithms, simulated annealing algorithm design structure matrix, and a comparative analysis of

人工智能动物推理系统程序-animal AI reasoning system procedures

一遗传算法的例子源程序-Example of a genetic algorithm source code

利用matlab编写的神经网络算法，经过测试速度快效果好。-Prepared using matlab neural network algorithm, tested the effect of a good speed.

这是一个模式识别中的最近邻分类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 nearest neighbor classification 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.

c语言编写的蚁群算法源程序，应用于TSP-c language source code of ant colony algorithm applied to TSP

人工智能中的遗传算法权威书籍 适合初学者-Genetic Algorithms in Artificial Intelligence the authority of books suitable for beginners

用人工神经网络实现异或的功能。用反向传播算法（BP）来实现神经网络，正确率可以达到80% -using artificial neural network XOR functions. With back-propagation algorithm (BP) to achieve neural network, can achieve an accuracy rate of 80%

BP神经网络自适应步长训练算法，采用最小误差法，梯度下降法，自适应调节权值-BP neural network training anaysis, is realized by using error feed back, gradient descent applied updating of synaptic weights