vb apriori algorithm

人工神经网络，利用matlab工具箱算法-Artificial neural network using matlab toolbox algorithm

径向基网络对Polynomial函数的逼近和拟合-Radial basis function networks Polynomial Approximation and fitting

bp神经网络模拟，是根据以立体的模拟程序-bp neural network simulation, which is based on a three-dimensional simulation program

maltab 的一个遗传算法的例子,比较全,有教你怎么初始化初始种群,设定参数,还有demo提供学习-A genetic algorithm using maltab gentitc toolbox ,abundant in content.Whats s more, you are teached how to initialize the initial population, set parameters. It also provide learning demos.

遗传算法 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 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."

Vc++下如何利用Matlab工具箱进行数字信号处理-Vc++ How to use Matlab toolbox for digital signal processing

Eigenface and Fisherface Performance Across Pose

一个简单的遗传算法C++类-a simple genetic algorithm C

这是一个将n个样本聚类到m个类别中 将n个样本在m个类里如何分配输出的遗传算法代码。 适应度：sum(i=1_110)sum(j=1_20)【xi-vj】~2-This is a cluster n samples to the m categories will be n samples in the m a class how to allocate the output of the genetic algorithm code. Fitness: sum (i = 1_110) sum (j = 1_20) [xi-vj] ~ 2

PID控制已经广泛的用于工业生产，但是对于PID参数的获得一直是该控制的难点。本例子为对PID控制有兴趣的人提供一种参考，该PID控制采用遗传算法。-PID control has been widely used in industrial production, but the PID parameters for the control of access has been difficult. The examples of PID control for those who are interested in providing a reference, the PID control using genetic algorithm.