The Prediction Method of Regional Economic Development Potential Along Railway Based on Data Mining

Abstract

AbstractThe prediction accuracy and efficiency of regional economic development potential along the railway line are poor when the common methods are used to predict the economic development potential along the railway. In view of this problem, a data mining based prediction method for regional economic development potential along the railway line is designed. Select the influencing factors of regional economic development along the railway, construct the regional economic development index system, collect index data, clean, cluster, sort and standardize the index data, extract the economic development characteristics in the pre-processing index data through data mining, input the economic development characteristics to the neural network, and output the predicted value of economic development potential after training and learning, Divide the economic development potential level. The experimental results show that the design method reduces the deviation of economic development potential prediction, shortens the prediction time, improves the accuracy and efficiency of prediction.KeywordsData miningEconomic development potentialData preprocessingEconomic forecast