Stability analysis of gradient-based training algorithms of discrete-time recurrent neural network
Recurrent Neural Network (RNN) is a powerful tool for both theoretical modelling and practical applications. To utilize the RNN as a general learning tool, the understanding of its properties, particularly the robustness and stability, are required. In this thesis, we aim at studying the robustness...
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| Format: | Thesis |
| Language: | English |
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2008
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| Online Access: | https://hdl.handle.net/10356/13326 |