Research on tourism income index based on ordinary differential mathematical equation

Abstract

Economic benefits continue to increase with the rapid development of the tourism industry. The level of tourism development is an indicator to measure the maturity of a country’s tourism industry. The article takes China’s coastal provinces as the research object and uses finite element ordinary differential mathematical equations to explore the income indicators of the tourism industry in coastal cities. In the dynamic process, the article portrays the development trend of tourism in different regions. It analyses the income levels and indicators of tourism development in coastal cities under different time and space conditions. The research results show that we can divide the time zone to count the base period value and average growth rate of domestic tourism in each province to classify the regional response type of domestic tourism development.

Application of deep NN optimized by multi-parameter fusion in ideological and political construction of professional courses in colleges and universities

“…The optimizer uses the gradient descent method to compare the recognition accuracy of the cross entropy and the squared loss function on the simple NN. The upper two curves are a group, which is the accuracy curve when the loss function is cross entropy [30][31]. The lower two curves are Accuracy curves for training and test sets when the loss function is a squared loss function.…”

“…Figure 1(a) is the curve relationship between the training model and the accuracy.The upper two curves are a group, which is the accuracy curve when the loss function is cross entropy[30][31]. The lower two curves are Accuracy curves for training and test sets when the loss function is a squared loss function.…”