CAJ | 학술논문

将移动自回归模型，减法聚类，神经网络，模糊逻辑系统相结合，设计基于模糊时间序列预测的混合系统模型，基于所设计的混合模型研究居民消费价格指数(CPI)的模糊时间序列预测问题，应用BP算法调整系统参数，并给出仿真研究。仿真结果表明，所设计的混合模型应用于CPI的模糊时间序列预测是可行的与有效的。
장이동자회귀모형，감법취류，신경망락，모호라집계통상결합，설계기우모호시간서렬예측적혼합계통모형，기우소설계적혼합모형연구거민소비개격지수(CPI)적모호시간서렬예측문제，응용BP산법조정계통삼수，병급출방진연구。방진결과표명，소설계적혼합모형응용우CPI적모호시간서렬예측시가행적여유효적。
Autoregressive integrated moving average model, subtractive clustering, neural network, and fuzzy logic system were combined, a kind of hybrid system model based on time series prediction was designed, fuzzy time series prediction problem of CPI was studied based on the hybrid model and BP algorithm was applied to adjusting the system parameters, and the simulation research was given. The simulation results show that the design of the hybrid model which was applied to fuzzy time series prediction of CPI is feasible and effective.