Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

11

AEI
2005

favoriteEmaildiscussreport

110views more AEI 2005»

Data mining techniques for improving the reliability of system identification

13 years 4 months ago

Data mining techniques for improving the reliability of system identification

Download imac.epfl.ch

A system identification methodology that makes use of data mining techniques to improve the reliability of identification is presented in this paper. An important aspect of the methodology is the generation of a population of candidate models. Indications of the reliability of system identification are obtained through an examination of the characteristics of the population. Data mining techniques bring out model characteristics that are important. The methodology has been applied to several engineering systems. q 2005 Elsevier Ltd. All rights reserved.

Sandro Saitta, Benny Raphael, Ian F. C. Smith

Real-time Traffic

AEI 2005 | Identification Methodology | Important Aspect | Methodology |

claim paper

Related Content

» Identification of Data Cohesive Subsystems Using Data Mining Techniques

» LAITOR Literature Assistant for Identification of Terms coOccurrences and Relationships

» Evaluation of the SRA Tool Using Data Mining Techniques

» Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology

» Combining Two Data Mining Methods for System Identification

» Improving software reliability and productivity via mining program source code

» Data mining techniques to improve forecast accuracy in airline business

» Reconstructing chemical reaction networks data mining meets system identification

» An adaptive website system to improve efficiency with web mining techniques

Post Info
More Details (n/a)

Added	15 Dec 2010
Updated	15 Dec 2010
Type	Journal
Year	2005
Where	AEI
Authors	Sandro Saitta, Benny Raphael, Ian F. C. Smith

Comments (0)