The Analysis of Differential High-Quality Development of Economy by Deep Neural Network and Internet of Things

Yonghuan Liu

doi:10.1109/access.2022.3150015

Abstract

This study solves the problems of insufficient objectivity and a large amount of calculation in traditional regional economic development level evaluation methods. The conventional Back Propagation (BP) neural network can easily fall into local extremes and slow convergence speed. Firstly, an improved BP algorithm is proposed. The LM (Levenberg-Marquardt) algorithm optimizes the BP neural network. Secondly, the evaluation model of Henan County’s economic development level is constructed based on the improved BP algorithm. Finally, Matlab software is used to design simulation experiments. The BP model is used to evaluate the comprehensive economic development level of 107 counties in Henan Province. The results show that the Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and Mean Square Error (MSE) of the output of the proposed BP model are 0.9, 1.72, and 3, respectively. This is far lower than other popular algorithms and is more suitable for estimating the comprehensive development level of the region. The overall economic development level of counties in Henan Province is relatively balanced but partially uneven. The polarization of development is more serious. The middle-level and middle- and low-level development counties account for a relatively large area, and the overall distribution characteristics are “convex”. This study aims to provide necessary technical support for a more accurate analysis of Henan counties’ comprehensive economic development level distribution and then to promote the coordinated development of counties in the province.

Highlights

At present, China's economy has already shifted from rapid growth to a stage of high-quality development [1]
With the rapid development of the Internet of Things (IoT), the popularity of online payment and shopping has undoubtedly extensively promoted the development of China's economy [3]
As China's third most populous province, Henan Province ranks fifth in the country's Gross Domestic Product (GDP) in 2020 and has played an essential role in China's economic development [7]

Summary

Introduction

China's economy has already shifted from rapid growth to a stage of high-quality development [1]. Highquality product improves the quality of economic development on the premise of stable growth. People can directly obtain statistical data related to economic growth from the IoT. On this basis, some methods can be used to analyze the problems in the region's development and make improvements to achieve a "qualitative" change in the regional economic growth [4]. A large amount of data information obtained in the network brings convenience to people [5]. Al Hayajneh et al (2020) proposed a system model that effectively combines software-defined networking with the IoT to improve the security of the IoT. Analyzing and researching the overall economic development level of Henan Province, and optimizing and adjusting its

Objectives

Methods

Results

Conclusion