Application of Data Mining for Coagulant Dosage of Water Treatment Plants Corresponding to Input Conditions |
Bae Hyeon
(부산대학교 전기공학과)
Kim Sungshin (부산대학교 전기공학과) Choi Dae-Won (부산대학교 전기공학과) Lee Seung-Tae (부산대학교 전기공학과) Kim Yejin (부산대학교 환경공학과) |
1 | 이병조, '신경망 이론을 이용한 응집제 PAC의 주입를 결정 모델에 관한 연구,' 전남대학교 석사학위논문, pp. 34-41, 1992 |
2 | 수자원연구소, 응집제 투입량 자동결정 시스템 개발 연구, 한국수자원공사 기술보고서, pp. 14-17, 1977 |
3 | Dan W. Patterson, Artificial neural network. NY: Prentice Hall, 1994 |
4 | I. Enbutsu, K. Baba, N. Hara, K. Waseda, and S. Nogita, 'Integrationof multi AI paradigms for intelligent operation support systems-fuzzy rule extraction from a neural network,' IAWQ, pp. 333-340, 1993 |
5 | O. Yagishita, O. Itoh, and M. Sugeno, 'Application of fuzzy reasoning to the water purification process,' Industrial Application of Fuzzy Control, pp. 19-39, 1985 |
6 | S. Michine, D. J. Spiegelhalter, and C. C. Taylor, Machine Learning, Neural and Statistical Classification. Elis Horwood, pp. 50-54, 1994 |
7 | K. Baba, I. Enbutu, H. Matuzki, and S. Nogita, 'Intelligent suport system for water and sewage treatment plants which includes a past history learning function -coagulant injection guidance system using neuralnet algorithm,' IAWPRC, pp. 227-234, 1990 |
8 | A. P. Black and S. A. Hamnah, 'Electrophoretic Studies of Turbidity removal Coagulant with Aluminum Sulfate,' J. AWWA, vol. 53, p. 438, 1961 |