美国麻省理工大学教授人工智能的课件以及课后的习题相关

本程序利用蚂蚁算法解决TSP（旅行商问题）问题-This procedure using ant algorithm to solve TSP (Traveling Salesman Problem) problem

pso优化bp神经网络的程序,是师兄论文里的程序,希望对大家有用!-PSO bp neural network optimization procedure is the senior thesis in the process, I hope useful for all of us!

本程序是使用APRIORI算法搜索相关联的项目，在搜索前需要用户先对项目的个数和最低支持度进行设置，然后程序就会在指定的项目是找出满足最低支持度的相关联的频繁项目集-This procedure is to use search algorithms APRIORI associated projects, the needs of users in the search before the first number of the project and set the minimum degree of support, and then the procedure will be in the designated project is to identify a minimum degree of support to meet the frequently associated itemsets

模拟退火算法：源于遗传算法，用来解决优化、决策等复杂的模型和问题。-Simulated annealing algorithm: from the genetic algorithm, to solve optimization, decision-making complex models and problems.

k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining .

著名的神经网络工具箱，功能十分强大，里面包含了数十种神经网络算法的实例。-Well-known neural network toolbox, function very strong, which contains dozens of examples of neural network algorithm.

一个bp神经元网络的c++实现，优化了算法，有可执行界面-A bp neural network c++ to achieve and optimize the algorithm, there is an executable interface

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

use swarm intelligence algorithm to slove travelling sales man problems in matlab-use swarm intelligence algorithm to slove traveling sales man problems in Matlab

这个是用来进行基频检测的，目前做的最好的应该数Paul的基频提取算法了，误差可以小于万分之五。该源代码的算法是我根据Paul的算法修改得到，省略了插值部分，所以误差在百分之五以内，但是在实际工作中已经足够了。-is for the frequency of detection, so the best should be the number of frequency Paul extraction algorithm, can be less than prior error. The source code for the algorithm is based on the algorithm Paul to be amended, omitted the interpolation part, the error within 5%, but the actual work has been sufficient.