Application of fuzzy neural hybrid networks to state prediction

摘要

In this paper, a fuzzy neural state predictor is presented. The fuzzy neural predictor uses the past estimated states and measurement vectors as entrance parameters, and it infers the next estimated states. The design of the fuzzy neural predictor is described. The resutls show how the fuzzy neural predictor obtains an accurate predict of the state. An example is presented to illustrate the performance and applicability of fuzzy neural predictor.