Abstract
In order to respond to the regional coordinated development of the country, it is necessary to put forward a method that can predict and analyze the development trend according to the current development situation. In view of this, the research will carry on the present situation and forecast analysis to the coordinated development of urban agglomeration in Western China. Firstly, the 3E system is used to establish the regional coordination degree evaluation model, and on this basis, the ellipsoid model is introduced for better coordination degree evaluation. In addition, in order to improve the prediction ability of the model, the convolution neural network is used to realize the big data analysis of the model. The results show that the overall coordination degree of the western urban agglomeration is in a weak coordination state in 2015, but the coordination degree of the region will reach 147.35 in 2020. The results show that the overall coordination degree of western urban agglomeration will gradually show a good trend, but the change speed is slow. The above results show that the prediction model in the study has strong practicability, the calculation results can fit the current situation, and the good prediction ability can provide decision-making suggestions for many governments.
Highlights
Introduction e ird PlenarySession of the 16th Central Committee of the Communist Party of China put forward five overall plans, including regional development, which can gradually narrow the gap between the development of various regions and form a new pattern of complementary advantages and coordinated development in the east, the middle, and the west
In order to ensure the rapid development of the western region, a convolution neural network algorithm will be used to study the triple problems of energy, economy, and environment in Computational Intelligence and Neuroscience regional coordination
Chung’s team used a representative multichannel convolutional neural network (CNN) to predict the fluctuation of the stock index, and the results show that the multichannel convolutional neural network has a strong prediction performance [14]
Summary
Introduction e ird PlenarySession of the 16th Central Committee of the Communist Party of China put forward five overall plans, including regional development, which can gradually narrow the gap between the development of various regions and form a new pattern of complementary advantages and coordinated development in the east, the middle, and the west. The convolution neural network big data analysis algorithm will be applied to the regional coordinated development of the 3E system prediction model, so as to solve the problems in the 3E system and achieve better decision support. Regional coordinated development will be affected by many factors, so in order to make the three areas of energy, economy, and environment in regional sustainable development develop in a more reasonable mode for a long time, a more reasonable decision-making algorithm is needed. In order to ensure the rapid development of the western region, a convolution neural network algorithm will be used to study the triple problems of energy, economy, and environment in Computational Intelligence and Neuroscience regional coordination. Through the analysis of the regional 3E system subsystems and building a comprehensive coordination evaluation model of the 3E system, the convolution neural network algorithm is added to the 3E system to realize the problem prediction and early warning in the coordinated development, so as to realize the coordinated and stable development between regions and promote the sustainable development of all regions
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