Research on the Comprehensive Evaluation of Firms Technology Innovation Ability Based on Neural Network
Nowadays, technology innovation is a fundamental determinant of value creation in enterprises and economic growth. Therefore, the comprehensive evaluation of technology innovation ability has become a significant concern both for enterprises and governments. The artificial neural network （ANN ）is a technique that is studied heavily and used in applications for engineering and scientific fields for various purposes ranging from control systems to urban planning. Its generalization powers have not only received admiration from the engineering and scientific fields, but in recent years, many innovation researchers are taking an interest in the application of artificial neural networks. In this paper, we propose a comprehensive evaluation method based on the neural networks, applying the artificial neural network to the comprehensive evaluation of technology innovation ability is a breakthrough in concept and technology. The paper is organized as follows. The first section is introduction. The second section constructs the evaluation index system of firms technology innovation ability. The third section is the basic model, and first, it introduces some basis elements and concepts to the readers that are central to understand the approach. The fourth section, using survey data on some firms, the neural networks are trained to provide some intelligent decisions, and the simulation results demonstrate that the method performs well in the evaluation of innovation ability. Last, it contains some concluding comments.
Neural Networks Back Propagation Algorithm Technology Innovation Ability Comprehensive Evaluation
HAO Yunhong LI Wenbo
School of Business Administration, Zhejiang Gongshang University, Hangzhou, Zhejiang, P. R. China, 310018
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
416-419
2007-06-01（万方平台首次上网日期，不代表论文的发表时间）