资源列表
cmac
- cmac神经网络即有导师的学习网络的课件讲解，很生动，容易理解。-cmac neural network learning network that is courseware instructor explained, it is vivid and easy to understand.
Neural-network-intelligent-control
- 机器人手臂神经网络智能控制建模，simulink仿真，源代码-Neural network intelligent control of robot arm model, simulink simulation, source code
bayes_total
- 最小错误概率贝叶斯分类器的matlab程序，可用于二维数据的分类以及分类效果的图像显示，可帮助初学者加深对贝叶斯分类算法的理解。-This is a matlab program of the minimum probability of error of Bayesian classifier.Which can display the image of two-dimensional data classification and the classification results . I
SLLE
- 引入数据类别信息的有监督局部线性嵌入算法，可用于数据分类-Supervised Locally Linear Embedding
horn-schunck
- 估计光流的经典算法H&S，经测试可以使用。-Estimates the optical flow for standard test sequences using H&S algorithm
MFA
- Marginal Fisher Analysis算法，可用于降维，注释有使用说明！供大家学习交流！-Marginal Fisher Analysis algorithm, can be used for dimensionality reduction, the Notes are used to explain! For all to learn!
GA-TSP
- 遗传算法求解TSP问题。包含6个文件。用matlab打开gatsp1.m，点击运行即可以得出结果。distTSP.txt文件包含了城市数据。如果更改了城市数，则须修改gatsp1.m文件中的N参数。-Genetic algorithm for TSP. Contains 6 files. Using matlab to open gatsp1.m, click on the results of running that can be drawn. distTSP.txt file contai
GA_TSP
- 利用遗传算法求解TSP问题。TSP问题描述如下：给定一组n个城市和他们两两之间地直达距离，寻找一条闭合的旅程，使得每个城市刚好经过一次而且总的旅行距离最短。 -The use of genetic algorithm to solve TSP problem. TSP problem described as follows: given a set of n cities and they are between 22 to direct the distance of the journey
AI_CrossRiver
- 人工智能课程 产生式部分的一个实验设计：用产生式解决“过河问题”-Production of artificial intelligence course as a part of experimental design: The production solve the " problem across the river"
SMO
- smo源代码，编绎后就可运行，方便，好用-smo the latest realese
singleneuralPID
- 单神经元pid源码实现，对初学的朋友很有帮助-The program can realize single neural pid with MATLAB.The algorithm is simple and easy to understand.
libsvm-3.1
- 最新的libsvm支持向量机程序，用于模式识别和回归预测，内含详细的使用方法-The latest libsvm support vector machine program for pattern recognition and regression that includes the use details