Application of Entropy Hierarchy Analysis and Deep Neural Network Algorithm Combination in Enterprise Economic Management

Abstract

The efficiency and effect of enterprise economic management activities depend on whether the performance evaluation can be implemented and the evaluation results can effectively feedback and improve the enterprise knowledge management process. Allocate enterprise resources to create more value. The evaluation of enterprise economic management activities depends heavily on the weights of different evaluation indicators of enterprises. In order to solve this problem, this paper proposes an evaluation method that integrates entropy weight analytic hierarchy process and deep neural network algorithm. Through objective entropy weight and imitation, the deep neural network fusion of subjective judgment of experts combines the subjective and objective factors of the evaluation index, then uses the AHP method as the evaluation index of performance evaluation according to the index weight, and finally realizes the accurate evaluation of enterprise economic management.