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.
The paper presents a method for calculating fuzzy time interval in the hybrid Petri net model of train operation system. Owing to the system hybrid attributes, hybrid Petri net is used to model the train operation system. In order to quantitatively analyze various uncertainty factors of the system, the theory of probability-possibility transformations is introduced to calculate fuzzy time interval...
Based on the fuzzy set theory and the norm theory, the fuzzy norm method is proposed to solve some of problems about interval estimation under the condition of poor information system with unknown probability distributions and small samples. By extracting difference value information from data series, the membership function and empirical distribution function are defined with a minimum of the maximum...
This paper deals with application of fuzzy least square method to the land-cover classification of remotely sensed data. The proposed method has a considerable advantage of extracting the reflectance of spectral bands for each category from pixel data and thus avoiding difficulties in electing training sets for each land-cover class when the class number gets large, which exist in conventional supervised...
A mathematical model for the double inverted pendulum is first presented. Then adaptive neural fuzzy inference system based on the state variables fusion is proposed for the control of the double inverted pendulum. The controller uses error back-propagation and least square estimator hybrid training algorithm to adjust the membership functions of each variable, optimize fuzzy rules, and identify the...
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.