Industrial heating furnace has a great deal of special characteristics such as big capacity, long lag and non-linear trait, etc. In order to control it better, we present a sort of fuzzy neural network temperature control model. It can transform the rulers of fuzzy logic control to a pair of input-output samples of multilayer forward neural network.The knowledge is not expressed by a serial of ...

in this paper, we establish the theory of fuzzy ideal convergence on completely distributive lattices and give characterizations of some topological notions. we also study fuzzy limit structures and discuss the relationship between fuzzy co-topologies and fuzzy limit structures.

In this paper we present architecture of a fuzzy expert system used for therapy of dyslalic children. With fuzzy approach we can create a better model for speech therapist decisions. A software interface was developed for validation of the system. The main objectives of this task are: personalized therapy (the therapy must be in according with child’s problems level, context and possibilities),...

This paper describes a new, open sources robot architecture initiative called the Extensible Robot Control Language (XRCL). This system is designed to provide a modern robot-programming interface which is adaptable and easy to learn. We describe a fuzzy logic control system built on this framework, and examine the system at work in two tasks at the AAAI 1999 Mobile Robot Competition.

Adnan Shaout and Dominic Colella The Electrical and Computer Engineering Department The College of Engineering and Computer Science The University of Michigan Dearborn Dearborn, MI [email protected]; [email protected] -------------------------------------------------------------------------ABSTRACT------------------------------------------------------------------In this paper a low cost and dri...

Hybrid systems composed of AI approaches have shown quite remarkable results in diagnosis. Designing of such multi-method sytems generally bears some diiculties in nding a uniform representation of inputs and outputs of their subsystems. Since Fuzzy Logic, too, has proven high importance in Artiicial Intelligence, due to its adequate pseudoverbal representation of knowledge, it is well suited t...