Title :
Knowledge acquisition from in-operation data for water supply system
Author :
Matsuki, Hiroshi ; Fujimoto, Yasutaka
Author_Institution :
Yokohama Nat. Univ., Yokohama, Japan
Abstract :
This study aims to replicate knowledge of operation for water supply system. The proposed method is able to extract knowledge of operation of experienced operators, and regenerate a plan of operation by using support vector regression. The proposed method can contribute to compensating for reduction of experienced operators.
Keywords :
knowledge acquisition; regression analysis; support vector machines; water resources; water supply; knowledge acquisition; support vector regression; water supply system; Artificial neural networks; Education; Estimation; Gallium; Reservoirs; Support vector machines;
Conference_Titel :
Industrial Technology (ICIT), 2011 IEEE International Conference on
Conference_Location :
Auburn, AL
Print_ISBN :
978-1-4244-9064-6
DOI :
10.1109/ICIT.2011.5754349
