资源列表
BP_XOR
- 利用三层BP人工神经网络解决异或问题（XOR）用matlab编程实现，网络结构可以方便地调整-The use of three BP artificial neural network to solve XOR problem (XOR) using matlab programming, the network structure can be easily adjusted
RostNat
- 很不错的语料分析工具，有分词、分析等等。最主要的还有TF/IDF的分析结果。很是实用-Very good tool for corpus analysis, took part in word analysis, and so on. The main TF/IDF analysis of the results. Is practical
FUZZY-RBF-PID
- 基于模糊RBF网络整定的PID控制,采用增量PID形式-RBF network based on fuzzy tuning of PID control, PID form of incremental
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"