Research on Application of Adaptive Backpropagation Neural Network Algorithm in Enterprise Management System

With the fast growth of advanced industrialization in the world as well as continuous enhancement of the living standards of the people, the shifting market has created new demands for conventional manufacturing businesses. The enterprises required to fully leverages the enthusiasm as well as creativity of the workers in management, which provides efficient support for the enterprise development. However, the conventional Artificial Intelligence (AI) approaches have the issues of not matching the optimal solution as well as slow convergence speed. Hence, this research proposes an enterprise resource management system according to information search and Machine Learning (ML) techniques. An Adaptive Backpropagation Neural Network (ABPNN) is proposed for the enterprise management system. Th experimental results shows that the proposed ABPNN attains accuracy of 0.975, precision of 0.912, recall of 0.934 and $F 1$-score of 0.923 respectively. These obtained values shows that the superior results when compared to the existing methods like BPN and Support Vector machine (SVM).