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.
This paper presents the application of Interval Type-2 Subsethood Neural Fuzzy Inference System (IT2SuNFIS) [1] in the area of control of a chemical plant and function approximation. In this model, a subsethood method between the inputs and hidden rule layer neurons determines the similarity between interval type-2 fuzzy set (IT2 FS) inputs and IT2 FS antecedents. The inputs to the system are fuzzified...
Classification is ubiquitous in real world applications. Classification problems deal with high amount of uncertainty. Cancer classification has become an important research problem in bio-medical systems. It is needed to distinguish between the relevant and irrelevant information. To segregate the data, many artificial soft computing techniques have been used. Soft computing finds many applications...
This paper focuses on the study of combination of some of the existing clustering methods and utilizing them meaningfully for feature dimensionality reduction. The efficacy of different cluster validity indices is investigated in selecting good features. A fuzzy ART network is used for experimentation. Colon dataset, wine dataset and iris dataset are used in this study to see the effectiveness of...
Quality of Service (QoS) based scheduling in Cognitive radio networks (CRN) is a pressing research problem. The objective of this work is to study the feasibility of using CRN for delay sensitive applications in the presence of primary users with random ON/OFF periods. The first contribution of this work is the modeling of a cognitive node as a Queuing system and characterization of the average delay...
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.