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 |
Hits:
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: 1.基于Bayes分类的MATLAB程序
2.遗传算法求解函数优化
3.基于Matlab的人工免疫算法
4.空间数据分析中最常用的是聚类分析(k均值算法代码)
5.蚁群算法的matlab源码-1. Based on the Bayes classification of MATLAB procedures 2. Genetic Algorithm for Function Optimization 3. Matlab-based artificial immune algorithm 4. Spatial data analysis is the most commonly used cluster analysis (k means algorithm code) 5. Ant colony algorithm matlab source Code Platform: |
Size: 29696 |
Author:tangkezong |
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Description: 粗糙集是一种数据预处理算法，可以用遗传算法对其进行优化。是很好的分类算法-Rough set is a data pre-processing algorithm, genetic algorithm can be used for its optimization. Is a good classification algorithm Platform: |
Size: 12288 |
Author:王淑娟 |
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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: 基本遗传算法的分类系统，主要应用于数据分类处理-Classification system based on genetic algorithm is mainly used in data classification Platform: |
Size: 8192 |
Author:苏怡益 |
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Description: classification algorithm. We use the genetic algorithm and a training data set to learn real-valued weights associated with individual attributes in the data set. We use the k nearest neighbors algorithm to classify new data records based on their weighted distance from the members of the training set. We applied our hybrid algorithm to three test cases. Classification results obtained with the hybrid algorithm exceed the performance Platform: |
Size: 133120 |
Author:asad |
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Description: An effectual genetic coding is designed by constructing fullclassification
rule set. This coding results in full use of all kinds of excellent
traits of genetic algorithm in data classification. The genetic algorithm is paralleled
in process. So this leads to the improvement of classification and its ability
to deal with great data. Some defects of current classifier algorithm are tided
over by this algorithm. The analysis of experimental Platform: |
Size: 139264 |
Author:asad |
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Description: 实现最简单的根据遗传算法来进行二维的数据点的分类的功能。-According to realize the most simple two-dimensional genetic algorithm to the function of the classification of data points. Platform: |
Size: 3072 |
Author:wangzhen |
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Description: The problem of intrusion detection has been studied and received a lot of attention in
machine learning and data mining in the literature survey. The existing techniques are not
effective to improve the classification accuracy and to reduce high false alarm rate.
Therefore, it is necessary to propose new technique for IDS. In this work, we propose a
new K-means clustering method with a different Preprocessing and Genetic Algorithm
for identifying intrusion and classification for both anomaly and misuse.
The experiments of the proposed IDS are performed with KDD cup’99 data set. The
experiments will clearly results the proposed method provides better classification
accuracy over existing method. Platform: |
Size: 400384 |
Author:Sumit |
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Description: MATLAB代码，采用封装法利用K近邻和遗传算法的结合对数据进行分类-MATLAB code using encapsulation method using a K-nearest neighbor and genetic algorithm combined with data classification Platform: |
Size: 2048 |
Author:huangfuhaoran |
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Description: tMissing data in large insurance datasets affects the learning and classification accuracies in predictivemodelling. Insurance datasets will continue to increase in size as more variables are added to aid inmanaging client risk and will therefore be even more vulnerable to missing data. This paper proposes ahybrid multi-layered artificial immune system and genetic algorithm for partial imputation of missingdata in datasets with numerous variables. The multi-layered artificial immune system creates and storesantibodies that bind to and annihilate an antigen. The genetic algorithm optimises the learning processof a stimulated antibody. The uation of the imputation is performed using the RIPPER, k-nearestneighbour-tMissing data in large insurance datasets affects the learning and classification accuracies in predictivemodelling. Insurance datasets will continue to increase in size as more variables are added to aid inmanaging client risk and will therefore be even more vulnerable to missing data. This paper proposes ahybrid multi-layered artificial immune system and genetic algorithm for partial imputation of missingdata in datasets with numerous variables. The multi-layered artificial immune system creates and storesantibodies that bind to and annihilate an antigen. The genetic algorithm optimises the learning processof a stimulated antibody. The uation of the imputation is performed using the RIPPER, k-nearestneighbour Platform: |
Size: 1945600 |
Author:yangs |
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Description: 基于SVM的数据分类预测—一种最基本遗传算法和粒子群算法对的支持向量机的参数的优化，再此基础上可以对算法进行改进-Data classification based on SVM prediction- one of the most basic genetic algorithm and particle swarm optimization (pso) algorithm, the optimization of the parameters of the support vector machine (SVM) based on this algorithm can be improved Platform: |
Size: 11264 |
Author:裘德新 |
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Description: 主要描述BP神经网络、SVM 的数据分类预测、Elman神经网络的数据预测粒子群优化算法的寻优算法、遗传算法优化计算等书中详细介绍了每种源程序代码及编写规范。-Mainly describes the classification of data with BP neural network and SVM prediction, Elman neural network data prediction particle swarm optimization algorithm optimization algorithm, genetic algorithm is used to optimize the calculation book are introduced in detail each source code and write specifications. Platform: |
Size: 3824640 |
Author:xd |
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Description: 关于神经网络的案例和源代码
一共43个。
BP神经网络的数据分类，BP神经网络的非线性系统建模，遗传算法优化BP神经网络等等。-Cases and Source Code on Neural Networks.
A total of 43.
Data classification BP neural network, nonlinear system BP neural network modeling, genetic algorithm optimization BP neural network and so on. Platform: |
Size: 23837696 |
Author:言身寸 |
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Search - genetic algorithm data classification