本程序是进行路径的寻找的程序，是一个朋友写的，特此说明。可以进行路径寻优处理。运行时需要导入的图片在代码文件夹中。...

机器人足球实现的核心代码-Robot Soccer realize the core code

中科院的分词动态连接库,不用我说了哈,在国内是大名顶顶哈-CAS-term dynamic link library, I do not have said Kazakhstan, in Kazakhstan after another is Daming

神经网络仿真工具，本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值.-Neural network simulation tool, this program is BP algorithm demo program in which the Levenberg-Marquardt algorithm has practical value.

给语音加噪声的一个程序，可以给定需要加噪声的分贝数，程序会自动加载，选用的是随机白噪声。-Plus noise to the voice of a program, you can determine the needs to increase the number of decibels of noise, the program will automatically load, selected at random white noise.

本压缩软件有vc++图象处理编程的源代码，相信会对从事图像处理的各位有所帮助- This compression software has the vc imagery processing programming the source code, believed can to be engaged in picture processing each position to have the help

这是一本进化算法的电子书，很适合人工智能方面的人学习-This is an evolutionary algorithm e-book, it is suitable for artificial intelligence to learn

JavaGenes is an evolutionary software system written in Java. It implements the genetic algorithm, simulated annealing, stochastic hill climbing and other search techniques.-JavaGenes is an evolutionary software system written in Java. It implements the genetic algorithm, simulated annealing, stochastic hill climbing and other search techniques.

新近出现的很好的计算智能算法，具有很强的鲁棒性，用它发过论文．-It is a very good optimization arithmetic.

粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation).源于对鸟群捕食的行为研究 PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍 同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-Particle Swarm Optimization (PSO) is an evolutionary technology (evolutionary computation). Predatory birds originated from the research PSO with similar genetic algorithm is based on iterative optimization tools. Initialize the system for a group of random solutions, through iterative search for the optimal values. However, there is no genetic algorithm with the cross- (crossover) and the variation (mutation). But particles in the solution space following the optimal particle search. The steps detailed chapter on the future of genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and ot

粗糙集属性约简算法程序和相应的学术文章,以及一些参考资料和学习网站-Rough Set Attribute Reduction Algorithm procedures and the corresponding academic article, as well as some reference and learning site