ECONOMIC BENEFIT EVALUATION OF INDUSTRIAL ENTERPRISES BASED ON BP NEURAL NETWORK OPTIMIZATION ALGORITHM

The economic evaluation methods of existing industrial enterprises have many limitations. In this paper, an economic benefit evaluation method of industrial enterprises based on BP neural network optimization algorithm is proposed. This method takes the economic indicators of enterprises as input of artificial neural network, and uses the optimized BP neural network model to evaluate and analyze enterprises. The running time is greatly shortened, and the evaluation results are objective and accurate. An example is given to illustrate the implementation of the method. The example shows the feasibility of the method. In the fast-changing market situation, the sustainable development of enterprises has attracted the attention of all sectors of society and has become the focus of research. The sustainable development of the enterprise is the objective requirement of the sustainable development of the economy, the guarantee for the long-term economic benefit of the enterprise, and the fundamental method and way to realize the long-term development of the enterprise. Therefore, for enterprises, sustainable development is the primary task of enterprises. The research on sustainable development of enterprises has become a hot topic in the practice and theory field of enterprise management. However, there has been no effective and systematic theory on the index system, quantification and evaluation methods of the evaluation of the sustainable development of enterprises