Sales Forecasting of Traditional Fuel Passenger Vehicles in China Based on BP Neural Network-SARIMA Combination Model

Peng, Minjing; Liao, Jianjin

Sales Forecasting of Traditional Fuel Passenger Vehicles in China Based on BP Neural Network-SARIMA Combination Model

Peng, Minjing and Liao, Jianjin (2024) Sales Forecasting of Traditional Fuel Passenger Vehicles in China Based on BP Neural Network-SARIMA Combination Model. In: Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023, Beijing, China.

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Abstract

Although the share of traditional fuel passenger vehicles and new energy passenger vehicles in the sales market changes frequently. However, few studies have explored the future development trend of traditional fuel passenger vehicles in the sales market. In this study, a combined BP neural network-

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Date Deposited:	04 Mar 2026 17:16
Last Modified:	17 Apr 2026 00:14
URI:	http://eprints.eai.eu/id/eprint/47635

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