Data mining for state space orthogonalization in adaptive dynamic programming

Expert Systems with Applications

Volumn 76, Issue , 2017, Pages 49-58

  Ariyajunya, Bancha ^a   Chen, Ying ^b   Chen, Victoria C P ^b   Kim, Seoung Bum ^c  

^a BURAPHA UNIVERSITY   (Thailand)

^b The University of Texas at Arlington   (United States)

^c Korea University   (South Korea)

Author keywords

Approximate dynamic programming; Data mining; Design and analysis of computer experiments; Ozone pollution

Indexed keywords

AIR NAVIGATION; AIR POLLUTION; AIR QUALITY; APPROXIMATION ALGORITHMS; COMPUTER PROGRAMMING; DATA HANDLING; DATA MINING; DESIGN OF EXPERIMENTS; EXPERT SYSTEMS; FEATURE EXTRACTION; INTELLIGENT SYSTEMS; MATHEMATICAL PROGRAMMING; OZONE; POLLUTION; REGRESSION ANALYSIS; STATISTICS;

ADAPTIVE DYNAMIC PROGRAMMING; APPROXIMATE DYNAMIC PROGRAMMING; COMPUTATIONALLY EFFICIENT; DESIGN AND ANALYSIS OF COMPUTER EXPERIMENTS; HIGH-DIMENSIONAL PROBLEMS; MODEL APPROXIMATIONS; OZONE POLLUTION; STATISTICAL MODELING;

DYNAMIC PROGRAMMING;

EID: 85011579149     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2017.01.020     Document Type: Article

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