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- W2108021292 abstract "This paper focuses on building a rule based model for a water supplying network using particle swarm optimization and fuzzy clustering. There are various fundamental problems of water supply distribution networks namely distance, quantity, demand, elevation etc. Depending on these factors we get the water at receiving ends in terms of quantity, pressure etc. An algorithm is proposed to obtain desirable rule based model for the above problem using particle swarm optimization which can further help in simulation and deciding various factors of input so that required output can be obtained." @default.
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- W2108021292 date "2009-07-01" @default.
- W2108021292 modified "2023-09-27" @default.
- W2108021292 title "Automatic generation of fuzzy rules from data by fuzzy clustering and particle swarm optimization" @default.
- W2108021292 cites W2109364787 @default.
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- W2108021292 doi "https://doi.org/10.1109/iama.2009.5228042" @default.
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