Analysis of effects of sizes of orifice and pockets on the rigidity of hydrostatic bearing using neural network predictor system

KSME International Journal

Volumn 18, Issue 3, 2004, Pages 432-442

  Canbulut, Fazil ^a   Sinanoglu, Cem ^a   Yildirim, Sahin ^a  

^a ERCIYES UNIVERSITY   (Turkey)

Author keywords

Hydrostatic Bearing; Neural Predictor; Orifice Dimension

Indexed keywords

ALGORITHMS; FEEDFORWARD NEURAL NETWORKS; MATHEMATICAL MODELS; OPTIMIZATION; ORIFICES; PARAMETER ESTIMATION; PRESSURE EFFECTS; RIGIDITY;

HIDDEN LAYER; NEURAL PREDICTORS; ORIFICE DIMENSION;

HYDROSTATIC BEARINGS;

EID: 3042513384     PISSN: 12264865     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02996108     Document Type: Review

References (12)

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