A new ARIMA-based neuro-fuzzy approach and swarm intelligence for time series forecasting

Engineering Applications of Artificial Intelligence

Volumn 25, Issue 2, 2012, Pages 295-308

  Li, Chunshien ^a   Hu, Jhao Wun ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Auto regressive integrated moving average model (ARIMA); Hybrid learning; Neuro fuzzy system (NFS); Particle swarm optimization (PSO); Recursive least squares estimator (RLSE); Time series forecasting

Indexed keywords

AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; HYBRID LEARNING; NEUROFUZZY SYSTEM; RECURSIVE LEAST-SQUARES ESTIMATORS; TIME SERIES FORECASTING;

CELLULAR AUTOMATA; FORECASTING; FUZZY SYSTEMS; INTELLIGENT SYSTEMS; LEAST SQUARES APPROXIMATIONS; SIGNAL ENCODING; TIME SERIES; UNSUPERVISED LEARNING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84855819427     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2011.10.005     Document Type: Article

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