一种多学科交叉的古典文献文字识别技术研究
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摘要
为了古典文献文字识别效果更好,在分析前人研究成果的基础上,基于多学科交叉,对遗传算法进行改进:建立经过优化的初始化种群,为交叉选择方法提供多样性的信息,利用柯西变异与高斯变异结合形成PM生成器.实验表明:该技术有效地提高了求解质量,较好地优化算法性能.
An Improvement method of Genetic Algorithms Based on Multidisciplinary Intersection was introduced: for the better recognition effect of classical documents word, based on the analysis of previous research results, establishment of optimized initialization population, providing diverse information for cross-selection methods, formation of PM Generator by combining Cauchy variation with Gauss variation. Experiments showed that this technique could effectively improve the quality of solution and the optimization performance of the algorithm.
An Improvement method of Genetic Algorithms Based on Multidisciplinary Intersection was introduced: for the better recognition effect of classical documents word, based on the analysis of previous research results, establishment of optimized initialization population, providing diverse information for cross-selection methods, formation of PM Generator by combining Cauchy variation with Gauss variation. Experiments showed that this technique could effectively improve the quality of solution and the optimization performance of the algorithm.
引文
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[2] 李保利.基于类别层次结构的多层文本分类样本扩展策略[J].北京大学学报 (自然科学版),2015,51(2):357-366.
[3] 张忠林,刘述昌,江粉桃.深层次分类中候选类别搜索算法[J].计算机应用,2017,37(3):635-639,672
[4] YANG Z,YANG D,DYER C,et al.Hierarchical attention networks for document classification[C]//Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies,Association for Computational Linguistics,2016:1480-1489.
[5] 苏志雄,伊俊敏.基于正逆序策略的混合流水车间遗传调度算法[J].计算机集成制造系统,2016,22(4):1059-1069.
[6] 党存禄,张旭.基于Daubechies小波族的电能质量信号去噪方法研究[J].电网与清洁能源,2014,30(12):5-9.