WCSE 2022 Spring
ISBN: 978-981-18-5852-9 DOI: 10.18178/wcse.2022.04.042

Enterprise Classification Based on BP Neural Network

Peng Ge, Zihan Wang

Abstract— In today's increasingly complex market environment, the competition among enterprises has become more and more intense, and more factors need to be considered in the formulation of strategies and behavioral decisions of enterprises. Through the sand table simulation experiment of enterprise operation and management, this paper simulates the management decision-making within the manufacturing enterprise and the competitive behavior between enterprises, and forms the experience data of the enterprise. Taking this as an example, the hierarchical classification method and BP neural network are used to classify the enterprise. , summarizes and describes the behavior characteristics of different types of enterprises through the classification results, provides a reference and strong support for the actual operation and management decision-making of enterprises, and helps enterprises to develop better in the fierce competition.

Index Terms— business management, corporate strategy, hierarchical clustering, BP neural network.

Peng Ge
Business School, Sichuan University, Chengdu, China
Zihan Wang
Business School, Sichuan University, Chengdu, China


Cite: Peng Ge, Zihan Wang, " Enterprise Classification Based on BP Neural Network, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 348-355, Sanya, China, April 15-18, 2022.