부산대학교 도서관

The purpose of studying the digital intelligent management platform for enterprises is to help them better carry out digital transformation and intelligent management, thereby improving their operational efficiency and market competitiveness. This paper aims to solve a series of problems encountered in the intelligent management platform through the improvement of neural network technology, so as to promote the digital transformation and intelligent management of enterprises. Through experiments on the accuracy and stability of this method, the results show that the accuracy based on improved neural networks is generally above 85%, with the highest stability reaching 85.72%. This indicates that the improved neural network algorithm can process complex data more accurately and produce more stable and reliable results. Adopting this method can provide higher quality and more effective management services for enterprises, thereby providing strong support for their sustainable development.