Description: 基于改进的独立分量分析的人脸识别方法，,本文将遗传算法(GeneticAlgorithm,GA)应用到独立分量的选择与优化中,从而在
保证较高识别性能的前提下,获得最优的人脸特征子集-Based on an improved independent component analysis for face recognition method, this article will genetic algorithm (GeneticAlgorithm, GA) is applied to independent component selection and optimization, resulting in a higher recognition performance guarantee under the premise was the best facial feature subset Platform: |
Size: 133120 |
Author:李宛霖 |
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Description: 关于链式智能体遗传算法用于数值优化和特征选择的论文，可以与我联系相互交流-On the chain-agent genetic algorithm for numerical optimization and feature selection of the papers, you can contact me exchange Platform: |
Size: 1073152 |
Author:李明 |
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Description: paper about Feature selection and parameter optimization for support vector machines:
A new approach based on genetic algorithm with feature chromosomes Platform: |
Size: 861184 |
Author:mar |
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Description: 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 image texture feature selection research Platform: |
Size: 753664 |
Author:罗朝辉 |
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Description: 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 selection is another factor that impacts
classifi cation accuracy. The objective of this research is to simultaneously optimize the parameters and feature subset without degrading the SVM
classifi cation accuracy. We present a genetic algorithm approach for feature selection and parameters optimization to solve this kind of problem. Platform: |
Size: 141312 |
Author:payal |
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Description: matlab中编的基于遗传算法的转子故障特征选择的小程序，新手程度，仅供参考-matlab in the series based on genetic algorithm rotor fault feature selection of small programs, novice level, for reference only Platform: |
Size: 222208 |
Author:HUXING |
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Description: 1采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。提示：可以用6位的0/1进行编码，适应度函数可以考虑类似 。-1 genetic algorithm for boys and girls in the sample data of height, weight, like math, like literature, like sports, like pattern recognition feature a total of six feature selection, design and use of SVM classifier for boys and girls based on the best features of the resulting and calculating prediction performance model (including SE, SP, ACC and AUC). Tip: 6 may be encoded with the 0/1, the fitness function may be considered similar. Platform: |
Size: 10240 |
Author:xiapan |
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Description: 1.采用遗传算法对男女生样本数据中的身高，体重，喜欢数学，喜欢文学，喜欢运动，喜欢模式识别共6个特征进行特征选择，并基于所得到的最佳特征采用SVM设计男女生分类器，并计算模型预测性能（包含SE,SP,ACC和AUC ）。要求自行编写代码实现遗传算法。(1. using genetic algorithm based on the sample data of male and female students in height, weight, love mathematics, love literature, love sports, love pattern recognition feature selection for a total of 6 characteristics, and based on the best features obtained by SVM design and classifier, and the computing model prediction performance (including SE, SP, ACC and AUC). Self coding is required to implement genetic algorithms.) Platform: |
Size: 14336 |
Author:liangyanbin
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Description: 用二进制遗传算法做特征选择，此算法效率高，选择的特征数目少。(The binary genetic algorithm is used for feature selection, which has high efficiency and few features.) Platform: |
Size: 3343360 |
Author:xiaohe1234 |
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Search - genetic algorithm for feature selection