Virtual cockpit: fuzzy neural networks in visual perception

Research on fuzzy neurons involves the development of computational modules which recognise the physical data in a system and perform logical operations for decision making. The outputs of fuzzy neurons can be connected into a network by employing inference mechanisms to arrive at a judgement. Such networks are very useful in real world systems where a human operator is present in the feedback loop. The complex system of an aircraft cockpit is an ideal example for the application of such a technology. The pilot is an active part of the feedback element of the system. In this paper a formal definition of fuzzy neurons is given and a simple fuzzy neural system is implemented in the design of the AVID panel. AVID is a visual display panel employing fuzzy logic to display the flight instrumentation data and integrated into a processing network for the purposes of real time operations