Comparison of SVM-Fuzzy Modelling Techniques for System Identification

2005 ◽  
pp. 494-503
Author(s):  
Ariel García-Gamboa ◽  
Miguel González-Mendoza ◽  
Rodolfo Ibarra-Orozco ◽  
Neil Hernández-Gress ◽  
Jaime Mora-Vargas
Keyword(s):  
System Identification ◽  
Fuzzy Modelling ◽  
Modelling Techniques

THE PROCESS CONTROL USING SPC AND FUZZY MODELLING TECHNIQUES

2002 ◽  
Vol 35 (1) ◽  
pp. 19-24
Author(s):  
M. Tervaskanto ◽  
T. Hietanen ◽  
U. Kortela
Keyword(s):  
Process Control ◽  
Fuzzy Modelling ◽  
Modelling Techniques

Thermal error measurement and modelling techniques for the five-degree-of-freedom spindle drifts in computer numerically controlled machine tools

2001 ◽  
Vol 215 (4) ◽  
pp. 469-485 ◽  
Author(s):  
H J Pahk ◽  
S W Lee ◽  
H D Kwon
Keyword(s):  
System Identification ◽  
Machine Tool ◽  
Degrees Of Freedom ◽  
Thermal Error ◽  
Error Measurement ◽  
Factors Affecting ◽  
Thermal Errors ◽  
Computer Numerically Controlled ◽  
Machine Tool Accuracy ◽  
Modelling Techniques

Thermally induced errors have been significant factors affecting machine tool accuracy. In this paper, the spindle thermal error is examined, where thermal error components with five degrees of freedom (DOFs) are considered. An effective measurement system has been devised for five-DOF thermal errors, consisting of gap sensors and thermocouples around the microcomputer-interfaced environment. Several thermal error modelling techniques are also implemented for the thermal error prediction: multiple linear regression, neural network, system identification methods, etc. The performance of the thermal error modelling techniques is evaluated and compared, giving the system identification method as the optimum model having the least deviation. The developed system for the thermal error measurement and modelling has been practically applied to a computer numerically controlled machining centre, and the spindle thermal errors are effectively compensated using the microcomputer-machine tool interfaced networks. The machine tool accuracy has been improved about four to five times typically.

A Community Based High Risk Register for Hearing Loss

1982 ◽  
Vol 47 (4) ◽  
pp. 373-375 ◽  
Author(s):  
James L. Fitch ◽  
Thomas F. Williams ◽  
Josephine E. Etienne
Keyword(s):  
Hearing Loss ◽  
System Identification ◽  
High Risk ◽  
Language Learning ◽  
Education Program ◽  
Communication System ◽  
Auditory Signal ◽  
Early Age ◽  
Community Based ◽  
Children With Hearing Loss

The critical need to identify children with hearing loss and provide treatment at the earliest possible age has become increasingly apparent in recent years (Northern & Downs, 1978). Reduction of the auditory signal during the critical language-learning period can severely limit the child's potential for developing a complete, effective communication system. Identification and treatment of children having handicapping conditions at an early age has gained impetus through the Handicapped Children's Early Education Program (HCEEP) projects funded by the Bureau of Education for the Handicapped (BEH).

Interlaboratory evaluation of theoretical modelling techniques for single-mode optical fibres

1992 ◽  
Vol 139 (5) ◽  
pp. 353 ◽  
Author(s):  
J. Pelayo ◽  
J. Paniello ◽  
N. Gisin ◽  
J.W. Burgmeijer ◽  
M. Blondel ◽  
...  
Keyword(s):  
Single Mode ◽  
Theoretical Modelling ◽  
Optical Fibres ◽  
Modelling Techniques
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