检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:Yang Yue Haomiao Niu Jiao Liu
机构地区:[1]Mathematical Modeling Innovation Lab,North China University of Science and Technology,Tangshan,Hebei,063210,China [2]School of Chemical Engineering,North China University of Science and Technology,Tangshan,Hebei,063210,China [3]School of Clinical Medicine,North China University of Science and Technology,Tangshan,Hebei,063210,China
出 处:《Journal of Environmental & Earth Sciences》2021年第1期41-47,共7页地球与环境科学(英文)
摘 要:Given the threat of Vespa mandarinia invasion to ecological balance,according to the data and information provided,the dynamic reproduction model of Vespa mandarinia is established by using natural domain interpolation,and the variation law of total bumblebee with time,latitude,and longitude is obtained.At the same time,we established the classification prediction model by using a neural network and established the mapping relationship between time and space to evaluation grade.We meshed the area provided by the title,assigned values to the location of Vespa mandarinia(VM),and established a VM diffusion model with natural neighborhood interpolation.Its propagation process is simulated by cellular automata.It is determined that VM spreads in a circular shape centered at(122.93174°W,48.93457°N)and(122.57376°W,49.07848°N)in the Washington area,with the farthest distance being 1184.4 km and 985 km respectively.We set up a classification prediction model for better classification.According to the image upload time and location,SVM and neural network are used for classification prediction,and the classification accuracy is 74.26%and 97.60%,respectively,and the neural network has higher classification accuracy.So we choose the neural network.
关 键 词:Neural network Ecological equilibrium Dynamic reproduction
分 类 号:U48[交通运输工程—载运工具运用工程]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.49