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• W2362371336 abstract "A parallel structure hybrid model is mainly composed of a mechanism model and an error compensation model.In general, the error compensation model should be simple and have correction functions to prevent the accuracy from varying with time. Aiming at this problem, a single layer neural network with an ellipsoid bounded algorithm is proposed,and it is taken to enhance the convergence speed and ensure the boundedness of modeling error. The proposed method is applied to an alumina production process to improve the soft sensing method of caustic soda and alumina component concentration. The experimental results show that the ellipsoid bound algorithm can improve the model accuracy and the speed of network convergence. In addition, the improved method is more stable than the original method the presence of noise." @default.
• W2362371336 created "2016-06-24" @default.
• W2362371336 creator A5009727754 @default.
• W2362371336 date "2014-01-01" @default.
• W2362371336 modified "2023-09-23" @default.
• W2362371336 title "Research of Ellipsoid Bounded Algorithm in Hybrid Modeling" @default.
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• W2362371336 hasPublicationYear "2014" @default.
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