Design and Application of Fuzzy Logic System Based on QPSO Intelligent Algorithm

Qiufeng Fan, Tao Wang, Yang Chen, Zhifeng Zhang
2017 ICIC Express Letters  
Due to its wide application, fuzzy logic system has become a hot research topic in the field of academic and practical application. For parameter identification, the common method is the least square algorithm, BP algorithm, etc. Although there are a lot of methods, they are not intelligent algorithms. By combining with the TSK fuzzy logic system and the neural network, this paper designed a five layers fuzzy neural network system. The quantum behaved particle swarm optimization (QPSO)
more » ... nt algorithm was used to tune the fuzzy logic system parameters, and the design of intelligent system is applied in the prediction of the international gold prices. By comparing the performance of QPSO and BP algorithm, the performance index and simulation results illustrated the effectiveness of the proposed design method, which obtained better effect in contrast with the BP algorithm.
doi:10.24507/icicel.11.01.143 fatcat:ykhahwqpdzczjky6zey5ybcmvm