搜索资源列表
hough 程序例子
- hough变换的代码，这个变换可以原来检测直线或圆等图形。-Hough Transform code, can transform the original circular or linear detection, such as graphics.
遗传算法－最优函数值
- 此遗传算法功能强大，界面操作，能很方便的设置遗传算法的各个参数。运行过程中，图形显示寻优过程。以及列表显示运行的详细结果。-this powerful genetic algorithms, interface operation, can very easily be set genetic algorithm parameters. Process, graphics optimization process. Operation and table shows the detailed r
source
- C词法分析器实现,AOE网络算法实现,KRUSKAL算法实现,PRIM算法实现,计算机图形学影线填充算法（键盘坐标输入）,计算机图形学影线填充算法（鼠标输入）,人工智能A*算法实现的C语言程序-C lexical analyzer to achieve, AOE network algorithm, KRUSKAL algorithm, PRIM algorithm, computer graphics hatched filling algorithm (keyboard input coor
gupiaohuitu
- 股票绘图 代码很有用的代码-Stock graphics code very useful code
KGE
- 核图形嵌入，供大家学习交流，注释有使用说明！-Nuclear embedded graphics for them to learn from the exchange of Notes are used to explain!
genetic_algorithm_in_c
- 此源码包含下面五个程序的源代码。 基本分类算法源程序 基本遗传算法源程序 基于遗传算法的人工生命模拟源程序 基于遗传算法优化神经网络结构源程序 基于遗传算法提取基元图形源程序-This source code contains the following five program s source code. Basic classification algorithm source basic source of genetic algorithm based on gen
NeuralNetworkLayer
- 利用神经网络输入图形并进行一定的处理,提高图像的质量。-The use of neural networks and must enter the graphics processing, improve image quality.
pcnnmm
- pcnn与图形学结合处理脉冲噪声的程序，效果不错。-Graphics pcnn combination with procedures to deal with impulse noise, good effect.
fsvm
- 模糊支持向量机向量机的国外文章，可得到更精确的仿真图形-Fuzzy Support Vector Machine SVM foreign article can be a more accurate simulation graphics
SGA
- 代码没有任何图形，甚至也没有屏幕输出，主要是保证在平台之间的高可移植性。要求输入的文件应该命名为‘gadata.txt’；系统产生的输出文件为‘galog.txt’。输入的文件由几行组成：数目对应于变量数。且每一行提供次序——对应于变量的上下界。如第一行为第一个变量提供上下界，第二行为第二个变量提供上下界，等等。 -Code without any graphics, or even no screen output, mainly to ensure a high portability
VisionWorkbench_1.1.0.5_x86
- 在计算机图像硬件上实现计算机视觉的相关算法，并使用了OpenGL及其Cg语言和CUDA，程序不错。-The OpenVIDIA project implements computer vision algorithms on computer graphics hardware, in OpenGL and Cg and CUDA. The project provides useful example programs which run computer vision algorithms
cp321123
- 这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交
1_Network_1in
- 利用VC++，编写神经网络底层代码，实现单输入单输出的神经网络，并调用MATLAB绘图-Using VC++, the preparation of neural networks underlying code, single-input single-output neural network, and call the MATLAB graphics
GA
- 基于VC++编程，实现遗传算法的代码，并实现了遗传算法对函数极值的搜索，并调用MATLAB绘图-Based on VC++ programming, genetic algorithm code, and implements a genetic algorithm to function extremum search and call MATLAB Graphics
SLMCR
- SLMCR 网络 实现一个圆柱体的平衡； 采用C语言写的算法Demo 代码-code for learning to balance a pole, used for experiments described in Strategy Learning with Multilayer Connectionist Representations, by C. Anderson, in the Proceedings of the Fourth International Workshop on
cuSVMVCcode
- 基于GPU计算的SVM，VC++源码，包括详细文档说明文件。借用了GPU编程的优势，该代码据作者说比常规的libsvm等算法包的训练速度快13-73倍，预测速度快22-172倍。希望对大家有用-cuSVM is a software package for high-speed (Gaussian-kernelized) Support Vector Machine training and prediction that exploits the massively parallel proc
fingerD
- 指纹识别的几个例子，以及源代码。包括很多模块，比如二值化，细化，图形矫正等。-A few examples of fingerprint recognition, as well as the source code. Includes many modules, such as binarization, thinning, correction and other graphics.
TSP
- 遗传算法，可以实现遗传算法TSP优化，图形显示优化过程。可以设定遗传种群个数、变异率等参数。-Genetic algorithm, genetic algorithm can achieve TSP optimization, graphics optimization process. Can set the number of genetic populations, mutation rates and other parameters.
TSP
- 用模拟退火算法和遗传算法实现TSP旅行商问题，并可以用Matlab对结果进行图形显示分析，非常实用于初学者-Using simulated annealing algorithm and genetic algorithm traveling salesman problem TSP, and the results can be used Matlab graphics analysis, very useful for beginners
SGA
- 这是一个非常简单的遗传算法源代码，是由Denis Cormier (North Carolina State University)开发的，Sita S.Raghavan (University of North Carolina at Charlotte)修正。代码保证尽可能少，实际上也不必查错。对一特定的应用修正此代码，用户只需改变常数的定义并且定义“评价函数”即可。注意代码 的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂