- DataMining 实现数据挖掘中数据平滑的三种算法
- 数据挖掘十问
- parse-types build script for eclipse adt build on linux platform.
- nvc0_surface return TRUE for mats that can be converted among each other by NVC0
- video_renderer VideoRenderer is responsible for decoding and displaying incoming video stream.
- claaseventmeta_programming Protocol NetBIOS s underlying encoding
资源列表
powell
- 课程学习图形配准中的优化问题时进行局部搜索的powell算法，程序代码注解详细，可运行，适合初学智能算法的朋友-Courses in graphic registration of optimization problems for local search powell algorithm, code comment in detail, can run, suitable for beginners intelligent algorithm friend
SimpleGA
- 一个简单可运行的遗传算法，求取一个二次函数的最小值，代码注释清楚，非常适合初学遗传（GA）算法。-Can run a simple genetic algorithm, to obtain a quadratic function of the minimum, code comments clear, ideal for beginners genetic (GA) algorithm.
multiplier
- 原码一位乘，两个原码数相乘，其乘积的符号为相乘两数符号的异或值，数值则为两数绝对值之积-Source 1 by two of the original code number multiplied, the product of multiplying the two symbols for the different number of symbols or values, value compared to the absolute value of the product of two n
TSP_Improved_GA
- 本程序为C++编写的TSP经典问题的改进遗传算法-improved GA code for TSP in C++
TSP_SA
- 本程序为C++编写的TSP经典问题的模拟退火算法-C++ code for TSP in simulated annealing
TSP_TS
- 本程序为C++编写的TSP经典问题的模拟退火算法-C++ code for TST in Tabu search
ga
- 一本雷英杰的的MATLAB遗传算法工具箱，希望对学习遗传算法的有帮助。-An LEI of the MATLAB genetic algorithm toolbox, hope to help learning genetic algorithm.
BelAtout
- This à program witch offer for the user an opportunity to player with the computer the belout game-This is à program witch offer for the user an opportunity to player with the computer the belout game
FCM
- FCM算法中参数的优选方法及实例应用,FCM算法中参数的优选方法及实例应用.pdf-FCM算法中参数的优选方法及实例应用
MATLAB.gt
- MATLAB遗传算法源代码 适用于解决遗传算法的代码，对于建模方面的同学有帮助-Genetic algorithm is the source code
All
- bp神经网络matlab代码实现,利用bp神经网络预测的好方法。-bp neural network matlab code to achieve, use a good bp neural network forecasting method.
gjRBFrltx
- 这是人工神经网络的RBF程序，我验证过数值结果证明该算法可用-This is the RBF artificial neural network program, and I verified the numerical results show that the algorithm can be used