An Adaptive Neural Fuzzy Inference System for prediction of average temperature
Xingfu Wang, Yongyuan Cheng, Qixian Qin, Zhishan Gu · 2011
Average temperature prediction is important and of great interest because successful prediction of it may promise attractive benefits to our daily life. But the prediction of temperature is complicated and very difficult because of the non-linear nature of the task. In recent years many form of soft computation model are proposed to handle the non-linear problem. In this paper we explore the predictability of average temperature with Adaptive Based Neural Fuzzy Inference System. Simulation results show ANFIS is good alternative to traditional method like BP.