| Summary: | 碩士 === 國立東華大學 === 電機工程學系 === 94 === The purpose of this thesis is using Fuzzy-based Error Correction Mechanism (FECM) to improve the forecasting error of prediction algorithm. FECM is a two-input-one-output fuzzy inference system (FIS), it can adjust the universe of discourse according to the different measuring scale of moving object’s trajectory and reduce the prediction error through FIS. The prediction of moving object’s trajectory includes two parts in this thesis, first calculate the forecasting error of moving objective’s trajectory by prediction algorithm, and then correct the error with FECM. At last, the prediction result is closer to real moving objective’s trajectory.
In this thesis, we compare the prediction result of FECM with original prediction algorithm and the results show that FECM can obtain better prediction value. In addition, the proposed method can improve the precision of trajectory prediction without training and modeling process of general prediction algorithm.
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