使用BP网络进行模式识别,识别0－9的数字

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

利用遗传算法自动进行排课-Using the genetic algorithm automatically Timetable

人工智能经典问题TSP问题的Java实现，内含源程序和调试过程生成的文件-AI classic TSP Java realize that contains source and debugging process produces files

bp网络代码 VC编写，BP算法的过程及注释说明-bp code VC network to prepare, BP algorithm for the process and Notes

模式识别中isodata的 vc++实现-pattern recognition isodata achieve the vc

knn，即k最近邻算法是模式识别中的一种比较简单而经典的分类算法-Knn, or k-nearest neighbor algrithom, is a simple and classical classifier algrithom.

多段图的分析算法,找到最优路径,用VC编的-more of the map analysis algorithms to find the optimal path, the series with VC

神经网络与遗传结合算法-neural networks and genetic algorithms combine

人工智能的教材啊- Artificial intelligence teaching material

西安电子科技大学模式识别原理与应用课件1-Xi" an University of Electronic Science and Technology Pattern Recognition Theory and Application of a courseware