With the rapid development of information technology, ICO, as a typical token, has been one of the focuses of domestic and foreign supervision. This research focuses on the ICO Economic Crime Model which is based on the BP Neural Network. Through the study and analysis of 150 ICO examples, 13 evaluation indexes of the ICO economic crime model are selected, and the ICO economic crime model based on the BP neural network is established. The model uses the function approximation ability of the BP neural network to simulate the nonlinear function relationship between the evaluation index and the ICO legitimacy to realize the evaluation of the ICO legitimacy. The empirical results show that the BP neural network has high accuracy in diagnosing the legitimacy of the ICO, which can be adopted as a new idea to evaluate the legitimacy of the ICO.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.