An intelligent adaptive fuzzy-neural control system for applications in hazardous environments

The paper introduces a new control system that´s fast, accurate and intelligent. Unlike traditional techniques used to date, this system works in the optical domain i.e. it is run on optical computers which are faster than the existing computers. The control system is a merger of optical computers, fuzzy logic, and neural networks. Possible application of genetic algorithms are also proposed which are very good at finding an optimal solution. This paper deals with the advantages of optical computing, need of fuzzy logic and essential merger with neural nets