In this paper,we combine decision fusion methods with four metaheuristic algorithms(Particle Swarm Optimization(PSO)algorithm,Cuckoo search algorithm,modification of Cuckoo Search(CS McCulloch)algorithm and Genetic al...In this paper,we combine decision fusion methods with four metaheuristic algorithms(Particle Swarm Optimization(PSO)algorithm,Cuckoo search algorithm,modification of Cuckoo Search(CS McCulloch)algorithm and Genetic algorithm)in order to improve the image segmentation.The proposed technique based on fusing the data from Particle Swarm Optimization(PSO),Cuckoo search,modification of Cuckoo Search(CS McCulloch)and Genetic algorithms are obtained for improving magnetic resonance images(MRIs)segmentation.Four algorithms are used to compute the accuracy of each method while the outputs are passed to fusion methods.In order to obtain parts of the points that determine similar membership values,we apply the different rules of incorporation for these groups.The proposed approach is applied to challenging applications:MRI images,gray matter/white matter of brain segmentations and original black/white images Behavior of the proposed algorithm is provided by applying to different medical images.It is shown that the proposed method gives accurate results;due to the decision fusion produces the greatest improvement in classification accuracy.展开更多
内部资金转移定价系统在一定程度上决定了国内商业银行未来竞争力,而收益率曲线的构建是其中的关键所在。但是由于国内金融市场的特殊性,缺乏可用的人民币收益率曲线,本文对这一重要问题进行了探讨。本文首先对相关文献和收益率曲线的...内部资金转移定价系统在一定程度上决定了国内商业银行未来竞争力,而收益率曲线的构建是其中的关键所在。但是由于国内金融市场的特殊性,缺乏可用的人民币收益率曲线,本文对这一重要问题进行了探讨。本文首先对相关文献和收益率曲线的应用进行了评述,在此基础上,提出了基于M cCu lloch模型的人民币收益率曲线构建的具体方法,并采用实际数据进行了检验。展开更多
基金Taif University Researchers for Supporting Project number(TURSP-2020/214),Taif University,Taif Saudi Arabia.
文摘In this paper,we combine decision fusion methods with four metaheuristic algorithms(Particle Swarm Optimization(PSO)algorithm,Cuckoo search algorithm,modification of Cuckoo Search(CS McCulloch)algorithm and Genetic algorithm)in order to improve the image segmentation.The proposed technique based on fusing the data from Particle Swarm Optimization(PSO),Cuckoo search,modification of Cuckoo Search(CS McCulloch)and Genetic algorithms are obtained for improving magnetic resonance images(MRIs)segmentation.Four algorithms are used to compute the accuracy of each method while the outputs are passed to fusion methods.In order to obtain parts of the points that determine similar membership values,we apply the different rules of incorporation for these groups.The proposed approach is applied to challenging applications:MRI images,gray matter/white matter of brain segmentations and original black/white images Behavior of the proposed algorithm is provided by applying to different medical images.It is shown that the proposed method gives accurate results;due to the decision fusion produces the greatest improvement in classification accuracy.
文摘内部资金转移定价系统在一定程度上决定了国内商业银行未来竞争力,而收益率曲线的构建是其中的关键所在。但是由于国内金融市场的特殊性,缺乏可用的人民币收益率曲线,本文对这一重要问题进行了探讨。本文首先对相关文献和收益率曲线的应用进行了评述,在此基础上,提出了基于M cCu lloch模型的人民币收益率曲线构建的具体方法,并采用实际数据进行了检验。
