From the 1960s, the increasingly serious ecological crisis gave rise to ecocriticism. William Wordsworth （1770-1850）, a representative of romantic poets, composes substantial poems to eulogize nature and to encourag...From the 1960s, the increasingly serious ecological crisis gave rise to ecocriticism. William Wordsworth （1770-1850）, a representative of romantic poets, composes substantial poems to eulogize nature and to encourage equality and harmony between nature and human beings. From the angle of deep ecology, a branch of ecological study, this paper aims to analyze the ecological consciousness conveyed in Wordsworth＇s poetry. It analyzes the adverse impacts of industrialization on nature and man in Wordsworth＇s poetry. It elaborates further on ecological thoughts in Wordsworth＇s poetry. And finally, it summarizes how Wordsworth criticizes industrialization in his poetry and how he expresses his ecological thoughts--ecological equilibrium, social equality and harmony, and nature preservation展开更多
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 inter&...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.展开更多
文摘From the 1960s, the increasingly serious ecological crisis gave rise to ecocriticism. William Wordsworth （1770-1850）, a representative of romantic poets, composes substantial poems to eulogize nature and to encourage equality and harmony between nature and human beings. From the angle of deep ecology, a branch of ecological study, this paper aims to analyze the ecological consciousness conveyed in Wordsworth＇s poetry. It analyzes the adverse impacts of industrialization on nature and man in Wordsworth＇s poetry. It elaborates further on ecological thoughts in Wordsworth＇s poetry. And finally, it summarizes how Wordsworth criticizes industrialization in his poetry and how he expresses his ecological thoughts--ecological equilibrium, social equality and harmony, and nature preservation
文摘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.
