Study On Evaluation Of Sustainability Capacity Of Enterprises Based On Improved Bp Neural Network Algorithm

Sustainable development of businesses is the objective requirements of sustainable economic development, and guarantee for enterprises to obtain long-term economic efficiency, as well as the fundamental ways and means of realizing long-term development. Therefore, Sustainable Development has become a hot topic in today's business management practices and theoretical circles. However there has been a lacking of effective, systematic theory in aspects like the evaluating index system, methods of quantification and evaluation of Sustainable Development in enterprises.This paper concluded and analyzed the methods of evaluating existing sustainability strength on the sustainable development of enterprises; Followed by that, there are analysis to the factors that affect the sustainability strength of development in enterprises including society, business environment, enterprises themselves, industry, customers and other subsystems. Combining views of scholars at home and abroad, and comprehensive consideration of the attainability, representativeness and quantificability of the indexes needed in evaluation process, an index system comprises 5 evaluation elements,17 evaluating indexes was constructed. Besides, BP neural network is improved by L-M algorithm, while the 17-35-1 network model is built by suing the MATLAB software and its neural network toolbox to implement the evaluation process; At last, training was carried out in 18 enterprises in different industries and areas to learn the BP neural network, and simulation operation was preceded basing on evaluation data of three companies. The test results show that the evaluation index system and the improved BP neural network model are practical in a good way.