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一个基于遗传算法的分类程序，运行环境是matlab-A classification procedure based on genetic algorithm, the runtime environment is the matlab
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联合运用粗糙集(RS)理论-遗传算法(GA)-支持向量机(SVM)方法研究真核生物翻译起始位点(TIS)的识别.-A classification model is built to recognize translation initiation sites (TISs) in eukaryotes by applying rough sets-genetic algorithm-support vector machine (RS-GA-SVM).
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XCS 基于遗传算法的自动学习分类器
一个C++的XCS的例子-XCS-based genetic algorithm for the automatic learning classification
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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
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遗传算法用于模式分类的特征选择。以minstall数据库为例，介绍了详细应用例程。-Genetic algorithm for pattern classification feature selection. Minstall database, for example, describes in detail the application routines.
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利用遗传算法对SVMk进行优化,并将其用于脑电信号的分类中-By using the genetic algorithm to optimize SVMk, and use it to the classification of the eeg signals
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用于遥感图像分类处理的一个基于C++的遗传算法聚类程序-For remote sensing image classification based on genetic algorithm clustering procedure of the C++
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MATLAB粗糙集属性约简库（内含实例，原创）
函数M文件：
TargetOptFcn.m ------------ 遗传算法的目标函数
PositiveRegion.m --------- 计算正域
LowerApproximation.m ------ 计算下近似
IsSub.m ------------------- 判断集合A是否是集合B的子集
EquivalentClassSet.m ----- 基于R分类的所有等价类的集合，即U/R
EleEquival
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改进的遗传算法用于极化合成孔径雷达影像非监督分类Improved genetic algorithm for polarimetric synthetic aperture radar image unsupervised classification-Improved genetic algorithm for polarimetric synthetic aperture radar image unsupervised classification
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This work investigates the practical application of
support vector machine (SVM) to power transformer condition
assessment. Partiuclarly, this paper proposes to integrate the
SVM algorithm with two heuristic optimization algorithms which
are
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bp神经网络的数据分类-语音特征信号分类
bp神经网络的非线性系统建模-非线性函数的拟合-Linear systems neural network modeling of nonlinear systems, according to the classification of BP neural network genetic algorithm to optimize BP neural network
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Feature selection by Genetic algorithm for classification
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模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最终的分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum point, in order to overcome this drawback, the genetic algorithm is applied to fuzzy C- me
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internet traffic classification program in matlab with genetic algorithm
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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
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这是遗传算法优化支持向量机代码。用于matlab分类应用-This is a genetic algorithm optimization support vector machine code. Applications for classification matlab
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In this paper analysis of „ Electrocardiogram (ECG) PQRSTU-waveforms and prediction of
particular decease infection or state of a patient is done using Genetic Algorithm and Artificial Neural
Network (ANN), precise Electrocardiogram (ECG) class
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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
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基于遗传算法优化的BP神经网络，可以作为诊断分类使用-Genetic Algorithm Optimization of BP neural network can be used as a diagnostic classification
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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 ma
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