The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Nowadays, the application of neural network technology in the evaluation of third party logistics (3PL) is very limited in China. The reason lies in the difficulty to find high quality training samples for neural network self-learning. This paper adopts uniform design method (UDM) to design representative, uniform and large-scale samples. And then use those samples to train the subtractive clustering...
At present, the application of neural network technology in our country's bank loan risk evaluation is very limited. The reason lies in the difficulty to find high quality training samples for neural network self-learning. Therefore, we adopt uniform design method (UDM) to design representative, uniformity and large-scale samples. And then we use those samples to train the self-adaptive radial basis...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.