Optimization Algorithm Design of Enterprise Metrological Asset Management Based on BP Neural Network

This article explores the application of BP neural network in enterprise management, focusing on its role in asset calculation, management and trend forecasting. Research shows that financial management financial systems are effective in improving financial planning, control and decision support. The methods are different. This study uses deep learning, especially deep belief networks, for better feature learning and classification. The proposed system for enterprises that mainly sell goods adopts a molding development method to improve the efficiency of financial management. The research results show that the financial management system integrated with BP neural network significantly improves standardization and enterprise operation support, emphasizing its practical importance in asset management.