A Research on Pre-warning of Financial Risks of Water Enterprises Based on GWO-BP Neural Network

DOI

10.2991/978-94-6463-230-9_79How to use a DOI?

Keywords

grey wolf algorithm; BP neural network; pre-warning of financial risks

Abstract

BP neural network enjoys popularity in the field of pre-warning of financial risks, however, traditional BP network has problems like local minimum and slow convergence rate. Therefore, a new kind of BP network is in need. The GWO-BP network optimized by gray wolf algorithm becomes more popular and after tests, it shows that the new network has higher accuracy rate in the pre-warning of financial risks of water enterprises than the old one, which will fit the pre-warning model better in the operation.

Copyright

© 2023 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.

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TY  - CONF
AU  - Xinyue Zhang
AU  - Liuliu Luo
AU  - Xumei Xiang
AU  - Yifan Meng
AU  - Shicun Zhang
PY  - 2023
DA  - 2023/09/04
TI  - A Research on Pre-warning of Financial Risks of Water Enterprises Based on GWO-BP Neural Network
BT  - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
PB  - Atlantis Press
SP  - 659
EP  - 665
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-230-9_79
DO  - 10.2991/978-94-6463-230-9_79
ID  - Zhang2023
ER  -