Preliminary Theory of Set DR of Fuzzy Time Series Forecasting Model

Autor:	Zhen-xing Wu, Hong-xu Wang
Rok vydání:	2017
Předmět:	Variables Mean squared error Computer science Mean squared prediction error media_common.quotation_subject computer.software_genre Fuzzy logic Set (abstract data type) Applied mathematics Probabilistic forecasting Data mining Differential (infinitesimal) Time series computer media_common
Zdroj:	DEStech Transactions on Computer Science and Engineering.
ISSN:	2475-8841
Popis:	In order to solve the question which the existing fuzzy time series forecasting model prediction accuracy is not high, this paper proposes the fuzzy time series forecasting model based on differential collection of SD. The general elements expressed in SD( ). Prove: IF a time series forecasting method requires AFER
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::452a0c10c874b81dd0d94085e78c5289 https://doi.org/10.12783/dtcse/mcsse2016/10979 Zobrazit plný text záznamu