Description: 这是个遗传算法的数据结构,该算法用在提取图形特征方面。 -this is a genetic algorithm data structure, the algorithm used in the extraction graphics characteristics. Platform: |
Size: 41734 |
Author:陈智 |
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Description: 模拟退火程序:这部分代码是模式识别中结合模拟退火法的特征提取,大家可以对其进行简单的改进会获得更好的效果,比如改变温度表,加上“记忆体”,结合遗传算法等
-simulated annealing procedures : This code is part of pattern recognition in combination with simulated annealing method of feature extraction, you can perform simple improvements will be better results, such as changes in thermometers, the words "memory" combining genetic algorithm Platform: |
Size: 195860 |
Author:天才 |
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Description: 这是利用遗传算法提取基元图形的程序,采用C编写。-This is the use of genetic algorithm-based extraction procedures yuan graphics, C preparation. Platform: |
Size: 4270 |
Author:李建新 |
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Description: 王小平《遗传算法——理论、应用与软件实现》随书光盘,内容有:
\\GA 本书中所附源程序C或C++代码文件及其可执行文件
Scs.cpp 基本分类算法源程序,输入数据文件cfile.txt,efile.txt,gfile.txt,pfile.txt,rfile.txt,tfile.txt
Sga.c 基本遗传算法源程序, 输入数据文件input,输出文件output
A_life.c 基于遗传算法的人工生命模拟源程序, 输入数据文件world
GA_nn.c 基于遗传算法优化神经网络结构源程序,输入数据文件sample
Patmat.c 基于遗传算法提取基元图形源程序
\\Sources 遗传算法相关自由软件及代码
-Wang Xiaoping "genetic algorithm -- Theory, Application and Software" CD with the book, the contents are : \\ GA book accompanying C or C source code files and executable files Scs.cpp basic classification algorithm-source Order, the importation of data files cfile.txt, efile.txt, gfile.txt. pfile.txt, rfile.txt. tfile.txt Sga.c basic genetic algorithm source files, input data files input, output file output A_life.c based on genetic algorithm simulation source Artificial Life, import data files GA_nn.c world based on genetic algorithm optimization neural network structure source, import data files Patmat.c sample extraction based on genetic algorithm-based graphics yuan source \\ Sour ces genetic algorithms and the associated free software code Platform: |
Size: 4516410 |
Author:zhuli |
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Description: 这是个遗传算法的数据结构,该算法用在提取图形特征方面。 -this is a genetic algorithm data structure, the algorithm used in the extraction graphics characteristics. Platform: |
Size: 40960 |
Author:陈智 |
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Description: 模拟退火程序:这部分代码是模式识别中结合模拟退火法的特征提取,大家可以对其进行简单的改进会获得更好的效果,比如改变温度表,加上“记忆体”,结合遗传算法等
-simulated annealing procedures : This code is part of pattern recognition in combination with simulated annealing method of feature extraction, you can perform simple improvements will be better results, such as changes in thermometers, the words "memory" combining genetic algorithm Platform: |
Size: 195584 |
Author:天才 |
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Description: 这是利用遗传算法提取基元图形的程序,采用C编写。-This is the use of genetic algorithm-based extraction procedures yuan graphics, C preparation. Platform: |
Size: 4096 |
Author:李建新 |
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Description: 王小平《遗传算法——理论、应用与软件实现》随书光盘,内容有:
\GA 本书中所附源程序C或C++代码文件及其可执行文件
Scs.cpp 基本分类算法源程序,输入数据文件cfile.txt,efile.txt,gfile.txt,pfile.txt,rfile.txt,tfile.txt
Sga.c 基本遗传算法源程序, 输入数据文件input,输出文件output
A_life.c 基于遗传算法的人工生命模拟源程序, 输入数据文件world
GA_nn.c 基于遗传算法优化神经网络结构源程序,输入数据文件sample
Patmat.c 基于遗传算法提取基元图形源程序
\Sources 遗传算法相关自由软件及代码
-Wang Xiaoping "genetic algorithm-- Theory, Application and Software" CD with the book, the contents are : \ GA book accompanying C or C source code files and executable files Scs.cpp basic classification algorithm-source Order, the importation of data files cfile.txt, efile.txt, gfile.txt. pfile.txt, rfile.txt. tfile.txt Sga.c basic genetic algorithm source files, input data files input, output file output A_life.c based on genetic algorithm simulation source Artificial Life, import data files GA_nn.c world based on genetic algorithm optimization neural network structure source, import data files Patmat.c sample extraction based on genetic algorithm-based graphics yuan source \ Sour ces genetic algorithms and the associated free software code Platform: |
Size: 4515840 |
Author:zhuli |
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Description: 遗传+Gabor人脸/掌纹/指纹/虹膜等识别匹配程序。注意,该程序包含特征提取和匹配识别,但是对输入的图像要求最好是经过定位归一化的。没经过定位归一化的图像,识别效果较差。-Genetic+ Gabor Face/Palmprint/fingerprint/iris recognition, such as matching program. Note that the program contains the feature extraction and matching identification, but the input requirements of the best images is normalized positioning. Not normalized, after positioning of images, to identify less effective. Platform: |
Size: 9216 |
Author:曲晓峰 |
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Description: 本程序用于对工件图像的预处理,边缘提取等。将改进遗传算法和Hausdorff距离结合用于工件识别。采用canny边缘为匹配特征,将修正的Hausdorff距离作为相似性度量准则,并应用遗传算法进行最佳匹配的快速搜索,成功实现了目标物体的匹配识别-This procedure used for the workpiece image preprocessing, edge extraction and so on. Will improve the genetic algorithm and Hausdorff distance combination for workpiece identification. Using canny edge for matching characteristics, will be amended Hausdorff distance as similarity measurement criteria and the application of genetic algorithm is the best match of the Quick Search, the successful achievement of the target object matching identification Platform: |
Size: 33792 |
Author:南飞燕 |
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Description: 本代码是基于面部感情特征提取的一种遗传算法,-The code is based on the facial feature extraction of the feelings of a genetic algorithm, Platform: |
Size: 4842496 |
Author:yinglun |
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Description: 准椭圆函数交叉耦合滤波器耦合系数的提取程序。利用matlab遗传算法和solvopt算法工具包。不懂使用方法可以加我qq13319810-Cross-coupled quasi-elliptic function filter coupling coefficient of extraction procedures. The use of genetic algorithms and matlab toolkit solvopt algorithm Platform: |
Size: 4096 |
Author:代天麒 |
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Description: 基于VC的各种聚类和分类算法程序。
手写数字或者打开已有的手写数字图像后,在右视图空白处,单击鼠标左键,激活右视图,选择菜单中的各种分类算法,可以对手写数字进行分类。有模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器。
在左视图上单击鼠标左键,可获得3种数据源:标准数字聚类、手画图形聚类、位图文件分析聚类。可以进行特征提取、模糊聚类和遗传算法。-VC-based clustering and classification algorithm for a variety of procedures. Handwritten numbers or open an existing handwritten digital images, the empty space in the right view, click the left mouse button to activate the right view, select the menu, the various classification algorithms can be handwritten digits classification. There template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classifier. In the left view, click the left mouse button, access to three kinds of data sources: a standard digital cluster, hand-painted graphics clustering, clustering analysis of bitmap file. Can feature extraction, fuzzy clustering and genetic algorithm. Platform: |
Size: 3179520 |
Author:ft5272633 |
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Description: An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles.-An automatic facial feature extraction method is
presented in this paper. The method is based on the edge
density distribution of the image. In the preprocessing stage a
face is approximated to an ellipse, and genetic algorithm is
applied to search for the best ellipse region match. In the
feature extraction stage, genetic algorithm is applied to
extract the facial features, such as the eyes, nose and mouth,
in the predefined sub regions. The simulation results
validates that the proposed method is capable of
automatically extracting features from various video images
effectively under natural lighting environments and in the
presence of certain amount of artificial noise and of multi-
face oriented with angles. Platform: |
Size: 324608 |
Author:fais |
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Description: hallenge to the use of supervised neural networks in data mining applications
is to get explicit knowledge from these models. For this purpose, a clustering genetic algorithm
for rule extraction from artiÞ cial neural networks is developed. The methodology is based on the
clustering of the hidden unit activation values. A simple encoding scheme that yields to constant-
length chromosomes is used, thus allowing the application of the standard genetic operators. Besides,
a consistent algorithm to avoid some of the drawbacks of this kind of representation is also developed.
The individual Þ tness is determined b Platform: |
Size: 348160 |
Author:asad |
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