Application of data approximation and classification in measurement systems - comparison of "neural network" and "least squares" approximation

CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings

Volumn , Issue , 2008, Pages 64-69

  Jabbari, Amir ^a   Jedermann, Reiner ^a   Lang, Walter ^a  

^a UNIVERSITY OF BREMEN   (Germany)

Author keywords

Artificial intelligence; Evolutionary computation; Measurement system; Temperature approximation and classification

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CURVE FITTING; DATA PROCESSING; FORECASTING; GEODESY; INTELLIGENT CONTROL; LEAST SQUARES APPROXIMATIONS; MEASUREMENTS; NEURAL NETWORKS; POLYNOMIAL APPROXIMATION; SIGNAL PROCESSING; STATISTICAL METHODS;

ADVANCED SYSTEMS; BACK-PROPAGATION; CLASSIFICATION MECHANISM; COMPUTATIONAL INTELLIGENCE; DATA APPROXIMATION; DISTRIBUTED DATA PROCESSING; ENVIRONMENTAL CONDITIONING; EVOLUTIONARY COMPUTATION; INTELLIGENT DATA; INTERNATIONAL CONFERENCES; LEAST SQUARES; MATHEMATICAL APPROACHES; MEASURED DATA; MEASUREMENT PERFORMANCE; MEASUREMENT SYSTEM; MEASUREMENT SYSTEMS; MODEL-FREE; REAL-TEMPERATURE; TEMPERATURE APPROXIMATION AND CLASSIFICATION; TEMPERATURE PREDICTIONS; TEMPERATURE VALUES;

INDUSTRIAL MANAGEMENT;

EID: 52249120579     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMSA.2008.4595834     Document Type: Conference Paper

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