Open AccessResearch on the Development Strategy of TC/CP Based on MSE-CM-BP Neural Network
Author(s) -
Zihan Yang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1941/1/012090
Subject(s) - artificial neural network , artificial intelligence , convergence (economics) , computer science , mean squared error , measure (data warehouse) , perspective (graphical) , machine learning , correlation coefficient , nonlinear system , data mining , statistics , mathematics , physics , quantum mechanics , economics , economic growth
As a science dedicated to simulating human learning by computer, machine learning has the ability to improve itself through empirical learning in dealing with interdisciplinary data statistics and approximation. Among them, BP neural network has stable and good nonlinear optimization processing ability, and it can deal with complex big data from a statistical perspective in strategy development. Therefore, this paper collects the data of income and rural development and its related influencing factors from 2010 to 2019, establishes a BP neural network with mean square error as the convergence measure of the results, and evaluates the application effect of BP neural network with the development strategy and creative products. The relative error of the results is less than 12%, and the correlation coefficient between influencing factors and results is not less than 0.8547.