MATLAB

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

微粒群算法与其它进化类算法相类似，也采用“群体”与“进化”的概念，同样也是依据个体（微粒）的适应值大小进行操作。所不同的是，微粒群算法不像其它进化算法那样对于个体使用进化算子，而是将每个个体看作是在n维搜索空间中的一个没有重量和体积的微粒，并在搜索空间中以一定的速度飞行。-Particle swarm optimization algorithm with other similar type of evolution, but also the use of " groups" and " evolution" concept is also based on the individual (particle) size of the operation of fitness. The difference is that unlike other particle swarm optimization evolutionary algorithm as the use of evolution for the individual operator, but as each individual in the n-dimensional search space of a weight and size of the particles, and in the search space the speed of a certain flight.

灰色预测模型称为CM模型，G为grey的第一个字母，M为model的第一个字母。GM（1，1）表示一阶的，一个变量的微分方程型预测模型。GM（1，1）是一阶单序列的线性动态模型，主要用于时间序列预测。 一、GM（1，1）建模 设有数列 共有 个观察值 对 作累加生成，得到新的数列 灰色理论与模型及在车辆拥有量预测中的应用 灰色神经网络交通事故预测比较 灰色系统(第三版)-projections Gray (No. Third Edition)

模拟退火算法（解98数学建模灾情巡视问题）-Simulated annealing algorithm (solution of 98 to inspect the disaster mathematical modeling issues)

利用神经网络来解决异或问题，代码是VC的-The use of neural networks to solve the XOR problem, the code is the VC" s

A*算法是，最经典的寻路算法，广泛用于游戏人工智能领域。-A* algorithm is the most classic Routing algorithm, widely used in the field of artificial intelligence game.

人工智能实验§贝叶斯网络的因果推理关系§ 熟悉掌握Bayes定理，学习贝叶斯网络的因果推理-artificial intelligence experiments Bayesian network causal reasoning relations mastery Bayes Theorem, learning Bayesian network causal reasoning

用matlab仿真的递推极大似然法辨识程序，可用来进行系统辨识，很好用-simulation using Matlab Recursive maximum likelihood method identification procedures, which can be used for system identification, good use

基于基本遗传算法的函数最优化 ，这也是本人收集的遗传算法优化软件，望对本网站有所帮助！！ -based on the basic function of genetic algorithm optimization, which I gather the genetic algorithm optimization software, look on this site help! !

人工智能学习的重要内容，对加强和巩固所学内容将起到非常重要的作用。-AI an important part of learning, to strengthen and consolidate the contents will play a very important role.