An Intelligent System for Multi-Functional Instrumentation Based on Biological Sensory Information Processing

Abstract

Biological sensory information processing system mainly consists of the sensory organs and the brain. Modeling of this makes a new intelligent sensing system. In this paper the establishment of a new instrumental technique is discussed from this point of view.
One of the major features of biological systems is parallel distributed processing. Multi-functional instrumentation (MFI) which spends great efforts on signal processing is one of the candidates of this technique. Its basic idea is that it can detect some kinds of information simultaneously and discriminate them effectively. But its weak point is how to acquire the suitable information processing. Then adaptivity which a neural network, a model of the brain, possesses is used.
According to some experiments such as instrumentation of temperature and wind velocity it is clear that the estimated values by this method are almost the same as those by the conventional one. So it is said that this proposal system is useful.