遗传算法的源程序例子，对于初学者有很大帮助，建议多

matlab写的模糊整定PID参数的子函数 -Matlab write fuzzy PID tuning parameters Functions written in Matlab fuzzy tuning PID Parameters of Functions written in Matlab fuzzy PID tuning parameters Functions written in Matlab fuzzy setting P ID parameter Functions

文本分类算法很多，神经网络算法遗传算法可以用，本算法采用支持向量机SVM来实现-Text Classification Algorithm

专家系统控制算法pid-The control arithmetic of Expert Systems

人工智能中一个关于野人过河的小程序-AI Savage cross the river on a small procedure

人工智能的一种典型的启发式搜索算法，是一种最好优先的算法，但要加上一些约束条件。-A typical artificial intelligence heuristic search algorithm, is a priority of the best algorithm, but to add some more restrictive conditions.

基与多种智能方法和模式识别技术的研究,如果你也在从事相关研究,一定要看看,我想应该有借鉴价值-base with a variety of intelligent methods and pattern recognition techniques, but if you are engaged in related research, we must look at, I think there should be a reference value

这是一个神经网络的开发工具-This is a neural network development tools

贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X | H) P (H)/P (X).. For multi-attribute data sets, computing P (X | Ci) of the overhead is very large, in order to reduce the computational complexity, we do conditional independence assumption that a given tuple class label, it is assumed that property values conditionally independent of each other, that does not exist in the inter-attribute dependencies. This procedure is only an implementation of algorithm, according to training data classifier training

用模拟退火算法求解TSP问题-simulated annealing algorithm for TSP

程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数-Program demonstrates that the simple genetic algorithm with a random population, then according to the crossover rate, mutation rate, calculating the maximum number of generations where the fitness of algebraic