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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\u2019s 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.<\/jats:p>","DOI":"10.1155\/2017\/6920904","type":"journal-article","created":{"date-parts":[[2017,10,17]],"date-time":"2017-10-17T19:31:16Z","timestamp":1508268676000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["Forecasting the Acquisition of University Spin-Outs: An RBF Neural Network Approach"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4336-1047","authenticated-orcid":true,"given":"Weiwei","family":"Liu","sequence":"first","affiliation":[{"name":"School of Economics and Management, Harbin Engineering University, Harbin 150001, China"},{"name":"Management School, Queen\u2019s University Belfast, Belfast BT9 5EE, 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