Predicting mill load using partial least squares and extreme learning machines

Soft Computing

Volumn 16, Issue 9, 2012, Pages 1585-1594

  Tang, Jian ^a   Wang, Dianhui ^a,b   Chai, Tianyou ^a,c  

^a STATE KEY LABORATORY OF SYNTHETICAL AUTOMATION FOR PROCESS INDUSTRIES   (China)

^b LA TROBE UNIVERSITY   (Australia)

^c NORTHEASTERN UNIVERSITY   (China)

Author keywords

Back propagation neural networks (BPNNs); Extreme learning machines (ELM); Mill load modeling; Partial least squares (PLS)

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; BACKPROPAGATION LEARNING ALGORITHM; EXTREME LEARNING MACHINE; FEATURE-BASED; GENERALIZATION CAPABILITY; GRINDING PROCESS; LEARNER MODEL; LOAD MODELING; LOAD PARAMETERS; ONLINE PREDICTION; PARTIAL LEAST SQUARE (PLS); SPECTRAL FEATURE; VIBRATION FREQUENCY SPECTRUM;

BALL MILLS; LEARNING ALGORITHMS; NEURAL NETWORKS; PARAMETER ESTIMATION;

FORECASTING;

EID: 84865737237     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-012-0819-3     Document Type: Article

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