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- W2114954744 abstract "A novel adaptive multistep predictor based on backpropagation neural networks is developed for nonlinear dynamical systems, and the prediction mechanism is analyzed. Two isomorphic neural networks are used together to implement the proposed predictor. One is called the learning network (LN), and the other is called the prediction network (PN). The weights of the two networks are adaptively adjusted so that past predictions closely match the observed data. These weights are used to generate future predictions. Simulation results demonstrate the effectiveness of the predictor. >" @default.
- W2114954744 created "2016-06-24" @default.
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- W2114954744 date "2003-01-02" @default.
- W2114954744 modified "2023-09-23" @default.
- W2114954744 title "Adaptive prediction using neural networks" @default.
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- W2114954744 doi "https://doi.org/10.1109/iscas.1992.229944" @default.
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