- XPinfguide disscusion about xp inf files.
- bac25src Alarm / launcher Implemented all the basic functions and features: timer
- robot 机器人避障之后
- rd_scripts11 Its a RF aplication in Matlab in Simulink.
- MAXchajian_v4.0.0 马克斯CMS(maxcms)资源采集插件 修复时间：2012.12.01 1 修复采集错误
- ImageSearch.Designer 基于颜色的图像检索：根据导入的一组BMP图像对其关键图进行颜色的相似检索
资源列表
Tsp
- 用GA算法解决30城市的TSP问题，城市的数量和距离需要手动输入。-30 city TSP problem solving with GA algorithm, the number and distance of the city' s need to manually enter.
NNLM1
- 神经网络与机器学习第一章：感知器分类半月形数据-Neural Networks and Machine Learning Chapter I: Classification meniscus sensor data
hundunPSO
- 混沌粒子群处理的经典程序，主要用于学习基本的混沌粒子群算法- end pixbin((2*kk-1):2*kk) = dec2bin( displace(nn2),2)
pso
- PSO在约束条件下求解目标函数最优，可用于电力系统机组组合-PSO for optimization objection，can used to calculate the power system unit commitment problem
Neuro
- 自己编写的一些神经网络的程序，里面有程序，有注释，有结果图片。希望大家不要乱用，能够作为学习的参考-I have written some of the neural network program, there are procedures, notes, pictures outcome. I hope you do not mess with, can be used as reference for learning
simulated
- 利用模拟退火算法求解一个典型工程设计优化问题，可以参考学习。-The simualted annealing works for a welded beam design problem. It s worth for learning.
SmartCar_V4.0
- 飞思卡尔摄像头组智能循迹算法，直道弯道，无懈破解-Freescale camera group Carle intelligent tracking algorithm, straight and curve, perfect crack
interruptible-load-calculation
- 本MATLAB程序是基于离散粒子群算法的可中断负荷的优化计算-The MATLAB program is a discrete particle swarm optimization algorithm based on interruptible load calculation
som
- som神经网络的源程序，对于神经网络学学习有很大作用。-som neural network source code, for learning neural network learning plays a significant role.
TSPMATLAB
- 关于蚁群算法的源程序，对于初学者能起到引导入门的作用，易于理解应用。-On ant colony algorithm source code, entry for beginners can play the lead role in the application easier to understand.
PCA
- PCA的matlab实现，附件中有代码注释、测试数据和说明文件。-PCA matlab implementation annex in code comments, test data and documentation.
BN_inference
- 本程序是用作贝叶斯推论的，训练好分类器，用于计算联合概率密度实现推理-This procedure is used for Bayesian inference, well trained classifier is used to calculate the joint probability density to achieve reasoning