Feature-Denoising Based on Average Fitness of Genetic Population

Yong-qing Wei, Ming-ying Xu, Zhen-fang Zhu
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引用次数: 1

Abstract

To solve the problem of the noise existed in feature items of category template in filtering system, weight adjusting strategy based on average fitness of population is proposed combining genetic algorithm with feedback. The feature items’ contribution to individual fitness is studied to adjust feature items’ weight by the genetic difference in the average fitness of the individual. Experimental results show that the weight adjusting strategy could significantly optimize filtering effect.
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基于遗传群体平均适应度的特征去噪
针对过滤系统中类别模板特征项存在噪声的问题,提出了基于总体平均适应度的权重调整策略,并将遗传算法与反馈相结合。研究特征项对个体适应度的贡献,通过个体平均适应度的遗传差异来调整特征项的权重。实验结果表明,权重调整策略能显著优化滤波效果。
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