资源列表
GM_PHDpaper
- IEEE trans. 发表的高斯概率假设密度滤波的开创性文章-It is published in an IEEE tans. on Gaussian mixture probability hypothesis density filter and finite random set
FirstChange
- 人工智能博弈树学习。用户是MAX方，电脑是MIN方，实现经典的分钱币游戏的与或图盲目搜索算法。-Artificial intelligence game tree learning. MAX user side, the computer is MIN parties to achieve the classic sub-games and coins or graph blind search algorithm.
fcm
- 用fcm算法对图像进行变化检测（首先对图像进行中值滤波，再用fcm算法分割），代码完整。-Using FCM algorithm for image change detection (of image median filtering in the first place, reoccupy FCM algorithm segmentation), code integrity.
ImageCodes-Harris
- VC写的harris角点检测程序。又名plessey，最经典也是目前效果最好的算法，比susan抗噪要好（实际的讲）-A program of Harris corner points test writen by VC.We can call is as plessey,it is the best algorithm.It better than susan from real useful point.
G52GRP-Interim-ReportFINAL
- G52GRP – Robot Football Team Strategy Development 机器人足球 策略-G52GRP- Robot Football Team Strategy Development strategy for robot soccer
test
- 数据挖掘中的数据以及测试数据的程序，可正常进行分类，核函数齐全-Data and test data in the data mining program, normally classified, complete kernel function
u3vw1x.ZIP
- 粗糙_神经网络逆模补偿的发电机励磁复合控制Rough _ neural network inverse model compensation generator excitation control-Rough _ neural network inverse model compensation generator excitation control
kriging
- Kriging程序是一种比较好的数值优化算法，目前应用范围还没有被人们足够重视，很多方面还等着它发挥作用，未来是很有前景的算法。-kriging algorithm is a very good algorithm for structural mechanics
mohukongzhiyupid
- 模糊控制与传统PID控制进行对比分析，并用simulink搭建仿真平台-Fuzzy control and traditional PID control were analyzed, and Simulink to build simulation platform
神经网络模式识别
- 在给定输入输出数据的前提下，通过模式识别锻炼出一个神经网络，并能对数据进行预测。
GAMSUsersGuide
- gams neural network learning information
Constrained-Engineering-Optimization
- 将离散约束优化问题转化为非负整数约束规划问题，开发求解该问题的离散差分进化算法。该算法采用基于混沌映射 的种群初始化、双版本变异和带随机扰动项的取整运算等新策略。针对非线性约束条件，给出惩罚基数的计算方法和连续映 射基函数的表达式，在此基础上设计处理非线性约束的自适应惩罚因子。提出一种刻画种群多样性的新测度——种群二次平 均基因距离及基于新测度的依概率混沌移民算子。将自适应罚函数法、依概率混沌移民操作与离散差分进化算法有机融合， 构造面向工程约束优化的混合离散差分进化算法