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.
Freshness and safety of muscle foods are generally considered as the most important parameters for the food industry. The performance of a portable electronic nose has been evaluated in monitoring the spoilage of beef fillet stored aerobically at different storage temperatures (0, 4, 8, 12, 16 and 20°C). An adaptive fuzzy logic system model that utilizes a prototype defuzzification scheme has been...
Load forecasting is a critical element of power system operation and planning, involving prediction of the future level of demand to serve as the basis for supply and demand planning. This includes planning for transmission and distribution facilities as well as new generation plants. This paper presents the development of a novel hybrid intelligent model and validates its prediction on the short-term...
Neuro-fuzzy systems have been used in past years for robot navigation applications because of their ability to learn human expertise and to utilize this knowledge to develop autonomous navigation strategies. In this paper, neuro-fuzzy based systems are developed for behavior based control of a mobile robot for reactive navigation. The proposed systems transform sensors' input to yield wheel velocities...
This paper analyzes the stage of maturity that neurofuzzy systems (and soft computing in general) have recently reached and tackles the several reasons why they have not yet reached a widespread acceptance in industrial and agronomic applications, despite the good performance they can offer with a reduced design effort.
Neural networks are good at recognizing patterns, but they are not good at explaining how they reach their decisions, while fuzzy logic systems, which can reason with imprecise information, are good at explaining their decisions but they cannot automatically acquire the rules they use to make those decisions. These limitations have been a central driving force behind the creation of intelligent hybrid...
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.