搜索资源列表
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遗传算法的开发包,外网上好不容易下下来的,功能很齐全-genetic algorithm development kits, external hard-line down under the feature is complete
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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 im
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用遗传算法进行特征选取和svm参数优化的程序。遗传算法工具箱goat已在压缩包 需要安装libsvm就可以直接运行。数据集采用UCI中的german数据集,并完成归一化操作,Genetic algorithm with feature selection and parameter optimization svm procedures. Genetic Algorithm Toolbox in goat need to install libsvm package can be run dir
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自动提取和分类脑电EEG信号P300的特征的遗传算法-A Genetic Algorithm for Automatic Feature Extraction
in P300 Detection
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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,
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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
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介绍一种遗传算法和神经网络结合特征提取的方法-Introduce a genetic algorithm and neural network feature extraction method
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介绍了动态聚类方法在旋转机械故障诊断中的应用,该方法结合了遗传算法,去除不必要的特征量-Dynamic clustering method introduced in the rotating machinery fault diagnosis, the method combines the genetic algorithm, the feature of removing unnecessary
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文章中主要介绍了遗传算法和模糊聚类相结合在特征提取中选取最有特征向量,极其在故障诊断应用中的优越性。-Article introduces the genetic algorithm and the combination of fuzzy clustering in the feature extraction, select the best feature vector, most in the superiority of fault diagnosis applications.
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paper about Feature selection and parameter optimization for support vector machines:
A new approach based on genetic algorithm with feature chromosomes
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一篇有关使用水平集方法分割虹膜之后用遗传算法提取虹膜特征值并使用不对称的SVMs来进行匹配的虹膜识别算法的文章-A level set method for the use of the genetic algorithm after the split iris iris feature extraction and use of asymmetric SVMs value to match the iris recognition algorithms article
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摘 要: 本文基于Landsat7ETM+全色图像,以浙江省临安市大峡谷镇为研究区,进行基于遗传算法的遥感图像纹理特征选择的研究-Abstract: This article is based Landsat7ETM+ panchromatic image to the Grand Canyon Town, Lin' an City, Zhejiang Province, for the study area, genetic algorithm-based remote sensing
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Support Vector Machines, one of the new techniques for pattern classifi cation, have been widely used in many application areas. The kernel
parameters setting for SVM in a training process impacts on the classifi cation accuracy. Feature
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结合遗传算法和SVM分类器方法对特征基因进行筛选-Combined with genetic algorithm and SVM classifier feature gene screening
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遗传算法,一个简单的库提供基本的算法语言,有很多改进和附加-ga2 is a simple C++ library providing the necessary base classes to implement a genetic algorithm in C++. It is based loosely on Goldberg' s canonical GA, but with many modifications, improvements and additional featu
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遗传算法(Genetic Algorithm)是一类借鉴生物界的进化规律(适者生存,优胜劣汰遗传机制)演化而来的随机化搜索方法。它是由美国的J.Holland教授1975年首先提出,其主要特点是直接对结构对象进行操作,不存在求导和函数连续性的限定;具有内在的隐并行性和更好的全局寻优能力;采用概率化的寻优方法,能自动获取和指导优化的搜索空间,自适应地调整搜索方向,不需要确定的规则。遗传算法的这些性质,已被人们广泛地应用于组合优化、机器学习、信号处理、自适应控制和人工生命等领域。它是现代有关智能计算
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this code is not mine. this code are genetic algorithm for feature selection.
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Binary GA selection method
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利用遗传算法进行特征提取,适合遗传算法初学者(Feature extraction using genetic algorithm)
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遗传算法提供了求解非线性规划的通用框架,它不依赖于问题的具体领域。遗传算法的优点是将问题参数编码成染色体后进行优化, 而不针对参数本身, 从而不受函数约束条件的限制; 搜索过程从问题解的一个集合开始, 而不是单个个体, 具有隐含并行搜索特性, 可大大减少陷入局部最小的可能性。而且优化计算时算法不依赖于梯度信息,且不要求目标函数连续及可导,使其适于求解传统搜索方法难以解决的大规模、非线性组合优化问题。(Genetic algorithm provides a general framework f
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