Abstract :
Engineers and scientists are in a constant strive to emulate the learning process in the human brain, its ability to generalize and adapt to changes. The neural network technology was developed with this goal in mind, and is currently being used in real time control applications benefiting from these advanced features. Fuzzy logic on the other hand is a problem solving technique that uses approximate description of the system using simple rules in a human language like English. At first glance, these technologies appear difficult to comprehend and intimidating to use in an actual application. This paper brings both of these technologies to an understanding level and shows how the combination of both technologies, NeuFuz, takes advantage of both neural networks and fuzzy logic by eliminating their drawbacks, thus providing the design engineer with a very simple tool that reduces design time and provides a more effective solution. A design of a fan controller is discussed as an application of this technology
