Hybrid methodologies have become popular in many fields of research as they allow researchers to explore various methods, understand their strengths and weaknesses and combine them into new frameworks. Thus, the combination of different methods into a hybrid methodology allows to overcome the shortcomings of each singular method. This paper presents the methodology for two hybrid methods that can be used for time series forecasting. The first combines singular spectrum analysis with linear recurrent formula (SSA-LRF) and neural networks (NN), while the second combines the SSA-LRF and weighted fuzzy time series (WFTS).

| 1 year ago /

Download Template Gratis Free Buku Modern dalam Word dalam berbagai model buku fiksi, non fiksi, sosial dan laporan atau profil perusahaan dan menu hidangan

| 1 year ago /