NDLI: Application of data mining and artificial modeling for coagulant dosage of water treatment plants corresponding to water quality

Content Provider	IEEE Xplore Digital Library
Author	Hyeon Bae Dae-Won Choi Seng-Tai Lee Yejin Kim Sungshin Kim
Copyright Year	2004
Description	Author affiliation: Sch. of Electr. & Comput. Eng., Pusan Nat. Univ., Busan, South Korea (Hyeon Bae; Dae-Won Choi; Seng-Tai Lee)
Abstract	Shortage of water is gradually accelerated because a high standard of living is required and water resources are rapidly run dry. Therefore, effective water treatment is necessary to retain the required quality and amount of water. The general treatment includes coagulation, flocculation, filtering, and disinfections. Coagulation, flocculation, and disinfections are major parts of the water treatment processes. In this paper, new automatic algorithm is proposed for coagulation that is one of the water treatment processes. The proposed method is showing how to determine the coagulant soil and amounts using data mining techniques.
Starting Page	2172
Ending Page	2177
File Size	1188271
Page Count	6
File Format	PDF
ISBN	0780387309
DOI	10.1109/IECON.2004.1432134
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-11-02
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Water resources Coagulation Testing Control systems Neural networks Automatic control Application software Acceleration Chemical processes
Content Type	Text
Resource Type	Article

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Application of data mining and artificial modeling for coagulant dosage of water treatment plants corresponding to water quality