APPLICATION RESEARCH ON BP ARTIFICIAL NEURAL NETWORK AND LM ALGORITHMS IN THE FIXED ASSETS INVESTMENT PERFORMANCE EVALUATION

摘要：

The paper provides a new idea on improving the calculating speed of the complex economic system evaluation by adopting the LM algorithms based on BP artificial neural network. It deeply discusses the concrete implementation process of LM and BP algorithms by using the comprehensive economic performance evaluation on fixed assets invest economic performance module as the example, and carries on the systematic analysis on the fixed assets investment performance of the whole country 31 provinces, cities and autonomous region according to the evaluation result. The result shows that LM and BP algorithms to comprehensively evaluate the similar, uncertain, even self-contradict indexes have very strong practicability.

关键词： BP Neural Network Fized Assets Investment Performance The Evaluation Indez System Evaluation Method

作者: RONG-PING LI TAO LIU

作者单位: College of Economics and Management, Hebei University of Science and Technology, Shijiazhuang Hebei 050018, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 744-749

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）