Prediction of population growth using Sugeno and Adaptive Neuro-Fuzzy Inference System (ANFIS)

2017 1st International Conference on Engineering and Applied Technology

Jones, A.H.S.^1 ; Pranolo, A.^1 ; Dianto, A.^1 ; Winiarti, S.^1

Department of Informatics, Universitas Ahmad Dahlan University, Indonesia^1

关键词: Adaptive neuro fuzzy inference systems (ANFIS);    Comparison methods;    Population growth;    Prediction tests;    Sustainable policies;    System testing;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/403/1/012073/pdf
DOI  :  10.1088/1757-899X/403/1/012073

来源: IOP

【 摘 要 】

Government use population growth data to design sustainable policies frameworks. This research aims to predict the population growth using adaptive neuro-fuzzy inference system (ANFIS) and Sugeno as comparison method. The ANFIS consists of determining layers (1 to 5), system design, implementation, and system testing stage. The results of using ANFIS is 0.44% while prediction test of using Sugeno is 16,09% in year 2010. The Sugeno result is categorized as a negative growth since it is far up from the ideal rate set by the government of 0.5% per year.