Design of Industrial and Commercial Systems based on Neural Networks

Model construction is the main content of industrial and commercial system design, but in the process of industrial and commercial system use, data collection and characteristics Extraction has an impact on the accuracy and completeness of the data and reduces the usability of commercial systems. To improve the effectiveness of the system, this paper proposes a neural network algorithm to carry out the industrial and commercial systems Neural network analysis improves the development level of industrial and commercial systems and shortens the time for model construction and formulation. A comprehensive assessment of the business system is then carried out. Finally, continuous monitoring is used to build the business system model and output the final processing results. The neural network algorithm perform data processing in industrial and commercial systems, improve the level and rationality of industrial and commercial systems More than 95% is better than traditional data processing. Therefore, the neural network algorithm can meet the requirements of industrial and commercial system collation and is suitable for continuous analysis of the development of industrial and commercial system.