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• W1660099968 abstract "A method for incorporating a priori information about an uncertain nonlinear system into the structure of a multilayer feedforward artificial neural network is presented. The result is an improved identification model and controller structures suitable for nonlinear system identification and control applications. The known information is incorporated into the activation function of the network output layer. An algorithm is derived for backpropagating the error and updating adjustable parameters within this layer that is consistent with existing supervised learning techniques. The developed technique is applied to the" @default.
• W1660099968 created "2016-06-24" @default.
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• W1660099968 date "2002-12-30" @default.
• W1660099968 modified "2023-09-27" @default.
• W1660099968 title "On identification of partially known dynamic nonlinear systems with neural network" @default.
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• W1660099968 doi "https://doi.org/10.1109/isic.1993.397663" @default.
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