Forecasting the Acquisition of University Spin-outs: An RBF Neural Network Approach
文献类型：期刊论文
| 作者 | Weiwei Liu; Zhile Yang; Kexin Bi |
| 刊名 | Complexity
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | University spin-outs (USOs), creating businesses from university intellectual property, are a relatively common phenomena. As a knowledge transfer channel, the spin-out business model is attracting extensive attention. In this paper, the impacts of six equities on the acquisition of USOs, including founders, university, banks, business angels, venture capitals, and other equity, are comprehensively analyzed based on theoretical and empirical studies. Firstly, the average distribution of spin-out equity at formation is calculated based on the sample data of 350 UK USOs. According to this distribution, a radial basis function (RBF) neural network (NN) model is employed to forecast the effects of each equity on the acquisition. To improve the classification accuracy, the novel set-membership method is adopted in the training process of the RBF NN. Furthermore, a simulation test is carried out to measure the effects of six equities on the acquisition of USOs. The simulation results show that the increase of university’s equity has a negative effect on the acquisition of USOs, whereas the increase of remaining five equities has positive effects. Finally, three suggestions are provided to promote the development and growth of USOs. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12490]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | Complexity |
| 推荐引用方式 GB/T 7714 | Weiwei Liu,Zhile Yang,Kexin Bi. Forecasting the Acquisition of University Spin-outs: An RBF Neural Network Approach[J]. Complexity,2017. |
| APA | Weiwei Liu,Zhile Yang,&Kexin Bi.(2017).Forecasting the Acquisition of University Spin-outs: An RBF Neural Network Approach.Complexity. |
| MLA | Weiwei Liu,et al."Forecasting the Acquisition of University Spin-outs: An RBF Neural Network Approach".Complexity (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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