[PDF.81ef] Learning with Recurrent Neural Networks (Lecture Notes in Control and Information Sciences)

Learning with Recurrent Neural Networks (Lecture Notes in Control and Information Sciences)

[PDF.oq36] Learning with Recurrent Neural Networks (Lecture Notes in Control and Information Sciences)

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 | #13009013 in Books |  Springer |  2008-06-13 | Original language:English | PDF # 1 |  9.17 x.37 x6.10l,.53 | File type: PDF | 149 pages

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Folding networks, a generalisation of recurrent neural networks to tree structured inputs, are investigated as a mechanism to learn regularities on classical symbolic data, for example. The architecture, the training mechanism, and several applications in different areas are explained. Afterwards a theoretical foundation, proving that the approach is appropriate as a learning mechanism in principle, is presented: Their universal approximation ability is investigated- inc...

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