Bhanu模型和遗传算法在阵发性心脏病判别中的研究和应用  

RESEARCH AND APPLICATION OF BHANU MODEL AND GENETIC ALGORITHM IN PAF DIAGNOSIS

作　　者：聂斌[1] 吴萍[1] 蔡建华[1] 

机构地区：[1]华东师范大学信息科学技术学院,上海200062

出　　处：《计算机应用与软件》2009年第11期154-156,214,共4页Computer Applications and Software

摘　　要：Bhanu图像分割模型发挥了遗传算法在处理复杂数据上的优势,但存在一定缺陷,容易被次要信息影响分割效果。为了克服这个缺点,首先介绍Bhanu模型的过程,在此基础上提出了将特征参数权值作为优化对像,利用遗传算法对Bhanu模型进行了改进,阐述了改进模型的自动学习过程,最后提出了将改进模型应用于阵发性心脏病(PAF)的分类判别中的解决方案。通过对实验数据的分析,论证了改进方案的可行性和有效性。Bhanu Image Segmentation Model takes advantages of the genetic algorithm in solving complex data, but with some defects such as being easily affected its segmentation effect by secondary information. To overcome this shortcoming, firstly the process of Bhanu Model is introduced, and on this basis, it proposes to make the characteristic parameter weights as optimal object for improving Bhanu Model with GA, and the auto-learning process of the improved model is expatiated. At last a proposal is made to apply the improved model in solutions of Paroxysmal Heart Disease （PAF） classified discrimination. By the analysis of experimental data, it demonstrates the feasibility and effectiveness of the improved programme.

关 键 词：图像分割 Bhanu模型 分类优化 遗传算法 阵发性心脏病 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] O242.23[自动化与计算机技术—计算机科学与技术]