The Research about the R&D Performance Measurement for the High-tech Enterprises Based on BP Neural Network Algorithm
Research and development activities (R&D) as the core competitiveness in the high-tech enterprises play an extremely important role and far-reaching significance. If the high-tech enterprises want to realize the effective management to the R&D activities, and improve their success rate and economic benefits, it is necessary to conduct a scientific evaluation for the R&D performance. In order to measure the R&D performance of the high-tech enterprises scientifically and accurately, according to the principle of BP neural network, this paper proposes the BP neural network model for the performance measurement of the high-tech enterprises. The model not only can simulate the expert in measuring the performance, but also avoid the subjective mistakes in the measurement process. The performance measurement of 16 high-tech enterprises in Hebei Province shows that the results given by this model are reliable, and this method to forecast the high-tech enterprises performance is feasible.
BP neural network algorithm High-tech enterprises R&D Performance measurement
LIU Zhibin
Department of Economics and Management, North China Electric Power University Baoding City, Hebei Province, China
国际会议
The Fifth InternationalSymposium on Management of Technology(ISMOT07)(第五届技术与创新管理国际研讨会)
杭州
英文
1677-1680
2007-06-01（万方平台首次上网日期，不代表论文的发表时间）