Study on Regional Scientific and Technological Innovation Platform Innovations Evaluation Based on BP Neural Network

Abstract

Based on the needs of the Regional Scientific and Technological Innovation Platform, innovations evaluation system was established by AHP. In order to simulate the experts' experiences and thinking, we used the improved BP neural network model. After training by putting in actual data, the improved BP neural network model was put in use to evaluate and manage the innovations created by the Regional Scientific and Technological Innovation Platform. With the accelerated process of economic globalization, the world economy appears regional characteristics obviously. In the rapid development of science and technology, the idea that innovation is a key factor in promoting economic growth has become the consensus by academia, enterprises and the government. Faced with intense competition in international technology and economy, most of developed countries have built first- class scientific and technological innovation platform as a support for innovative activity preferences and achieve leapfrog development of strategic initiatives. Regional scientific and technological innovation platform is established in the common needs of pivotal technology innovation in the relative industrial clusters, hunting, gathering and integration knowledge, information, technology, and other related resources for innovation. And provide each innovation subject in industrial clusters with public services and industrial technology innovation support by improving the liquidity, diffusibility of innovations in the platform. In a conclusion, regional scientific and technological innovation platform is an aggregate which linking the various nodes of innovation innovative needs and services effectively (1).Technological innovation platform, as an important carrier of innovation activities in the whole economic society, plays an important role in the regional science and technology and economic development. Thus in the present international science and technology and economic environment, a scientific theory and methodology is necessary to evaluate innovations which was created by enterprises in the innovation platform. It can not only test the efficiency of innovation in the platform, but also provide enterprises innovative resources in the future more efficiently. Nowadays, two important issues must be faced in the evaluation in the platform. First, how the quantitative results can be obtained as quickly as possible in the evaluation on a large number of innovations created by enterprises in the platform continually. Second, each evaluation result of innovations must be scientific, reasonable and consistent with the thinking of experts. These two issues are difficult to simultaneously solve by the general evaluation methods and expert evaluation group.