Research of Regional High-quality Development Level Based on PCA-BP Neural Network
Authors
*Corresponding author.
Email: daidapeng517213@163.com
Corresponding Author
Dapeng Dai
Available Online 9 October 2023.
- DOI
- 10.2991/978-94-6463-262-0_30How to use a DOI?
- Keywords
- High-quality development; data mining; Macroeconomics; PCA; BP neural network
- Abstract
This paper constructs an evaluation index system for high-quality development (HQD) in Anhui province in five dimensions: economic efficiency, structural optimization, innovation drive, opening and green ecology, and then uses PCA to measure the level of high-quality development (HQD) in Anhui province from 2010 to 2021 and gives the corresponding improvement paths, finally uses BP neural network to simulate and predict the level of high-quality development (HQD).
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Dapeng Dai PY - 2023 DA - 2023/10/09 TI - Research of Regional High-quality Development Level Based on PCA-BP Neural Network BT - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) PB - Atlantis Press SP - 259 EP - 266 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-262-0_30 DO - 10.2991/978-94-6463-262-0_30 ID - Dai2023 ER -