一种新的ica算法，主要是应用与盲分离算法，大家可以

用c语言编写的粒子群算法程序，下载后可以直接使用-With the c language of the particle swarm optimization program, download can be used directly

用A*算法解决八数码问题的小程序，特别好的程序代码-With A* algorithm to solve the problem of a small digital 8 procedures, in particular, a good code

用感知器分类算法和最近邻分类算法对三类点进行分类，具有窗口界面，用鼠标点击就可以了，程序自动给出分类界面-Classification algorithm with the sensor and the nearest neighbor classification algorithm to classify three categories of points, with the window interface, with a mouse click can be had, the program automatically gives Classification Interface

Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous approaches to dealing with this problem

人工智能中的深度搜索的九宫问题 用VC实现-artificial intelligence, in-depth search of JiuGongTu issue with VC

自适应小生境递阶遗传算法求解函数优化问题 想对其他函数求解就修改function函数-adaptive hierarchical genetic algorithm optimization function to function for the other amendments on the funct ion function

用局部最优探索算法求解tsp问题。。。matlab编写。附有城市坐标用于检验。 -Using local optimization algorithm to explore the issue tsp. . . matlab prepared. Coordinate with the city for inspection.

Solving Traveling Sales Man Problem by the Algorithm of Simulated Annealing. Src only. 100 free of compile error. Including 2 test cases.-Solving Traveling Sales Man Problem by the Algorithm of Simulated Annealing. Src only. 100 free of compile error. Including 2 test cases.

C＋＋编写的机器学习算法 Lemga is a C++ package which consists of classes for several learning models and generic algorithms for optimizing (training) the models-prepared by the machine learning algorithm Lemga C is a package which con sists of classes for several learning models an d generic algorithms for optimizing (training ) the models

eview 编写的时间序列预报程序 可以用于金融预报，等-eview the preparation of time-series forecasting procedures can be used for financial forecasting, etc.