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- W2366016158 abstract "Minimum spout-fluidizing velocity measuring experiments were carried on in 3-dimensional spout-fluidized bed.Relation among minimum spout-fluidized velocity and other working parameters in spout-fluidized bed such as static bed height,particle size,particle density,nozzle diameter,gas flow velocity were analyzed.Based on the experiments,least square support vector machine was used to predict the minimum spout-fluidized velocity,and adaptive genetic algorithm was applied to optimize the parameters of least square support vector machine.By the examination of 15 testing points,the prediction performance of least square support vector machine is better than that of commonly used empirical correlations and neural network." @default.
- W2366016158 created "2016-06-24" @default.
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- W2366016158 date "2010-01-01" @default.
- W2366016158 modified "2023-09-28" @default.
- W2366016158 title "Intelligent Fitting of Minimum Spout-fluidized Velocity in Spout-fluidized Bed" @default.
- W2366016158 hasPublicationYear "2010" @default.
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