Abstract
Methods of cluster analysis and neural networks are used to process the data on water consumption and results of simulation of operating water supply system. The results allow obtaining information, even in cases where there is no possibility to apply classic methods of data analysis.
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D’yakonov, V.P. and Kruglov, V.V., MATLAB 6.5 SP1/7/7 SP1/7 SP2+Simulink5, in 6. Instrumenty iskusstvennogo intellekta i bioinformatiki. Seriya “Biblioteka professionala” (MATLAB 6.5 SP1/7/7 SP1/7 SP2+ Simulink5/6. Tools of Artificial Intelligence and Bioinformatics), Moscow: Solon-Press, 2006.
Karambirov, S.N. and Bekisheva, L.B., On some statistical regularities of water consumption in water supply systems, Prirodoobustroistvo, 2012, no. 4, pp. 45–48.
Karambirov, S.N., Novye podkhody v modelirovanii i optimizatsii truboprovodnykh sistem. Osnovy, kontseptsii, metody (New Approaches in Modeling and Optimization of Pipeline Systems. Fundamentals, Concepts, and Methods), LAPLAMBERT Academic Publishing, 2012.
Karambirov, S.N. and Bekisheva, L.B., Simulation of pressure piping systems, Prirodoobustroistvo, 2012, no. 4, pp. 45–48.
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Original Russian Text © S.N. Karambirov, M.A. Mordyasov, P.M. Umansky, 2016, published in Rossiiskaya Sel’skokhozyaistvennaya Nauka, 2016, No. 6, pp. 59–63.
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Karambirov, S.N., Mordyasov, M.A. & Umansky, P.M. Cluster analysis of results of pressurized hydraulic system simulation. Russ. Agricult. Sci. 43, 93–97 (2017). https://doi.org/10.3103/S1068367417010116
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DOI: https://doi.org/10.3103/S1068367417010116