在c语言中实现的多目标优化，同时能够上使用者学习研究带来很大的方便...

本书介绍了一些关于机器人的识别技术，值得学习和借鉴，作为基础资料不错-The book introduced a number of robot recognition technology, it is worth to learn from, as a good basis for information

简要说明:基于c语言人工免疫源程序，附录在PDF文件中，与大家共享 -brief description : Based on the c language artificial immune source, the appendix in PDF files, and share

对于含有噪声的的数字图像模式“1、2、3、4”，使用“hopfield”神经网络，进行联想、识别，以去除噪声的影响。-for containing noise of the digital image model "1,2,3,4", "hopfield" neural network, Lenovo, identification, in order to remove noise impact.

BP神经网络的基本算法. 基于对话框-BP neural network algorithm. Based on the dialog box

最新开发的小波融合算法实现VC程序。非常好用。-latest development of the wavelet algorithm VC fusion procedures. Very handy.

基于遗传算法的分词论文 基于遗传算法的分词论文-Segmentation Based on Genetic Algorithms PapersSegmentation Based on Genetic Algorithms PapersSegmentation Based on Genetic Algorithms Papers

一本不错的与神经网络相关的英文教材。介绍了多种神经网络算法及针对每种算法弱点的改进算法。-A good correlation with the neural network of the English teaching materials

XCS是一种新的人工智能算法

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.-particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.

Code for Truth Maintenance System in Artificial Intelligence.-Code for Truth Maintenance System in Artificial Intelligence.