Neural Network Approach to the Comprehensive Economic Assessment of ENterprises from China, Poland, Bulgaria and North America

摘要

The Comprehensive economic benefit assessment of enterprise is one of the important Contents of the industrial Structure and Policy Search. The paper uses artificial neural network with the algorithm of error Back-propagation to assess the economic benefit of forty enterprises from four countries and district: China, Poland, Bulgaria and North America. Comparing the result obtained from this model with that from Comparative-coefficient method among Multi-objective decision making methods. We conclude that the use of artificial neural network in the economic benefit evaluation of enterprise possesses objectivity, generality and practicality.