行人仿真，收入程序，模拟行人可以联系我，…

神经网络C语言源程序-neural network C language source

昨天刚刚看到的A star算法类的实现，不知道对大家有没有用，参考一下吧-Yesterday, I saw a star of the algorithm to achieve category, we do not know of any use it for reference

SVM-light Version llf_dqy_hhu

清华仿真机器人2002年源码.rar。可以从下面这个网址找到更详细的内容。 http://www.lits.tsinghua.edu.cn/robocup-Qinghua robot simulation source code in 2002. Rar. From below the site to find more details. Http://www.lits.tsinghua.edu.cn/robocup

人工智能领域最基本的问题-artificial intelligence fundamental problem

这是一个识别两句话之间的相似度的程序，输入是两句中文文字，输出是得分（满分100）-This is a recognition of the similarity between two sentences of the procedure, the input of two Chinese characters, the output is a score (out of 100)

介绍模拟退火算法的经典资料，最后附了一些经典的例子-Describes the classic simulated annealing algorithm information, finally attached to a number of classic examples of

程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-procedures contained in the set include : number, the total sample number, the number of samples modeling, forecasting several factors, forecasting several targets, learning factor, momentum factor, the number of training, the overall error of hidden nodes.

遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."

遗传算法方法，步骤，实例。详细，有实例，很不错。-Genetic algorithm methods, steps, examples. Detail, there are examples of very good.