Design and Implementation of a Business Management Information System Under Improved Neural Network Algorithm

Traditional business management information systems have many problems, such as low data accuracy and low security. In order to improve the shortcomings of traditional systems and meet current needs, this paper designs and implements a business management information system based on improved neural network algorithms. Firstly, this article uses an improved neural network algorithm to improve the database of the business management information system, improving the accuracy and security of the system. Secondly, this article designs a business management information system that includes modules such as sales management, human resource management, and financial management. This article designs a model of convolutional neural network algorithm, which analyzes and experiments the obtained data through crawling. Through simulation experiments, this article concludes that the accuracy and security of data in business management information systems using improved neural network algorithms are much higher than traditional business management information systems. The research results indicate that the business management information system based on improved neural network algorithms can provide more accurate and efficient management support for enterprises, increase data security, and have good application prospects and market potential.