Prediction of Population Aging Trend in Liaoning Province Based on a Hyperparameter Optimized Artificial Neural Network Model
In order to actively deal with the aging of the population,the development status and characteristics of the aging population are analyzed through the seventh national census data of Liaoning Province.Based on the ar-tificial neural network model,the development trend of the proportion of the population over 65 years old in Lia-oning Province from 2022 to 2035 is predicted.The results show that the structural model of 5 layers of neural network is selected.The number of neurons in each layer is 23;the learning rate is 0.09462,and the minimum rela-tive error obtained from the training is 0.0205.It is predicted that by 2025,2030 and 2035,the proportion of the elderly population aged 65 and above in Liaoning Province will be 21.23%,23.01%and 23.77%,showing a trend of steady growth.The scale of the elderly population is increasing,and the degree of aging continues to deepen.Based on the analysis of the prediction results of the model,the corresponding countermeasures and suggestions are put forward:developing the aging industry to serve the elderly,establishing and improving the pension service system with the community,family and family,developing and utilizing the resources of the elderly.
population aginghyperparameter optimizationartificial neural network modelLiaoning province