CIMSA 2003 is directed to fill this gap in knowledge and practice, especially by focusing on the quantitative aspect of measurement issues for industrial, environmental, and engineering applications. <b>Keywords:</b> intelligent measurement systems; accuracy and precision of neural and fuzzy components; intelligent sensor fusion; intelligent monitoring and control systems; neural and fuzzy technologies for identification, prediction, and control of complex dynamic systems; evolutionary monitoring and control; neural and fuzzy signal/image processing for industrial and environmental applications; image understanding and recognition; soft–computing technologies for robotics and vision; soft computing technologies for medical and bioengineering applications; hybrid systems; fuzzy and neural components for embedded systems; neural and fuzzy implementations for measurement systems; neural, fuzzy and genetic/evolutionary algorithms for system optimization and calibration; neural and fuzzy diagnosis of components and systems; reliability of fuzzy and neural components; fault tolerance and testing in fuzzy and neural components; neural and fuzzy techniques for quality measurement.
Abbrevation
CIMSA
City
Lugano
Country
Switzerland
Deadline Paper
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Abstract