Information Fusion Based on Fuzzy Neural Networks in Application of Monitoring Management

This paper set up monitoring management of fuzzy neural networks based on number type,semantic type and indefinite information character through the combination of fuzzy classification and neural networks. If general neural networks is given to fuzzy input signal or fuzzy authority value, fuzzy neural networks, which is the system including language computation, logic inference, distributed processing and nonlinear whose performance are just satisfied with processing demand of multi-sensor information fusion mapping, show complementation of fuzzy system and neural networks. This model is applied to monitoring management of plant unit of submarine vapor, and it demonstrate the system can give right judgement of work position.