Modelling of diesel engine performance using advanced machine learning methods under scarce and exponential data set

Applied Soft Computing Journal

Volumn 13, Issue 11, 2013, Pages 4428-4441

  Wong, Ka In ^a   Wong, Pak Kin ^a   Cheung, Chun Shun ^b   Vong, Chi Man ^a  

^a UNIVERSITY OF MACAU   (Macao)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Data exponentiality; Data scarcity; Diesel engine modelling; Engine performance; Hybrid inference; Kernel based extreme learning machine

Indexed keywords

BACKPROPAGATION; BAYESIAN NETWORKS; COMPLEX NETWORKS; DIESEL ENGINES; FORECASTING; INFERENCE ENGINES; KNOWLEDGE ACQUISITION; LEARNING ALGORITHMS; RADIAL BASIS FUNCTION NETWORKS; STATISTICAL METHODS; STRUCTURAL OPTIMIZATION; SUPPORT VECTOR MACHINES; TWO PHASE FLOW;

DATA EXPONENTIALITY; DATA SCARCITY; DIESEL ENGINE MODELLING; ENGINE PERFORMANCE; EXTREME LEARNING MACHINE; HYBRID INFERENCE;

METADATA;

EID: 84885381962     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.06.006     Document Type: Article

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