Cycle Association

差分进化算法的一篇全国优秀硕士论文，目前国内对此的研究还处于初步阶段-Differential Evolution of a national excellent master

关于粒子群优化算法的实现.使用java语言实现。-On the Particle Swarm Optimization Algorithm. Using java language.

经典的SOM人工神经网络例子源码.zip 经典的SOM人工神经网络例子源码.zip-classic example of artificial neural network source. Zip SOM classic example of artificial neural network source. Zip

使用C语言实现神经网络算法，针对BP神经网络的特点进行设计和开发，具有比较好的性能-use c language to develop neural network,good to use.

Adaptive Resonance Theory Brain Modeling 人工智能人工神经网络源码-Adaptive Resonance Theory Brain Modeling artificial neural network artificial intelligence source

遗传算法中的简单遗传算法，用matlab实现。-genetic algorithm simple genetic algorithm, using Matlab to achieve.

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

清华大学对robocup中kick的研究源码-Tsinghua University s study robocup source of kick

基于神经网络的字母识别系统 -Letters based on neural network recognition system

这是一个使用VC++编写的“基于神经网络方法的专家系统源代码”，很有参考价值，请检查-It is a preparation of the VC, "based on neural network expert system source code," was useful, please check