![](/images/graphics-bg.png)
Forecasting the Acquisition of University Spin-Outs: An RBF Neural Network Approach
Joint Authors
Yang, Zhile
Liu, Weiwei
Bi, Kexin
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-17
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Liu, Weiwei& Yang, Zhile& Bi, Kexin. 2017. Forecasting the Acquisition of University Spin-Outs: An RBF Neural Network Approach. Complexity،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1143341
Modern Language Association (MLA)
Liu, Weiwei…[et al.]. Forecasting the Acquisition of University Spin-Outs: An RBF Neural Network Approach. Complexity No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1143341
American Medical Association (AMA)
Liu, Weiwei& Yang, Zhile& Bi, Kexin. Forecasting the Acquisition of University Spin-Outs: An RBF Neural Network Approach. Complexity. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1143341
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143341