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- W2167733904 abstract "The features of a novel robust adaptive learning algorithm in analog multilayer feed forward networks are presented. It implements sliding mode control strategy. The zero level set of the learning error is considered as a sliding surface in the space of neural network learning parameters. A sliding mode trajectory can be brought on and reached in finite time on such a sliding manifold. The algorithm is applied to on-line learning of a non-monotonic function and manipulator forward dynamics identification. The learning neural structures come into some of the advantages of variable structure systems, such as high speed of learning and robustness." @default.
- W2167733904 created "2016-06-24" @default.
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- W2167733904 date "2004-04-23" @default.
- W2167733904 modified "2023-09-26" @default.
- W2167733904 title "A sliding mode strategy for adaptive learning in multilayer feedforward neural networks with a scalar output" @default.
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- W2167733904 doi "https://doi.org/10.1109/icsmc.2003.1244647" @default.
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