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Recurrent Neural Networks Are Universal Approximators
Artificial Neural Networks – ICANN 2006
Springer, Berlin, Heidelberg, September 2006
Anton Maximilian Schäfer, Hans Georg Zimmermann
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|Members of the public||1||100%|
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Ph. D. Student||5||29%|
|Student > Master||5||29%|
|Student > Bachelor||1||6%|
|Readers by discipline||Count||As %|
|Physics and Astronomy||2||12%|
|Business, Management and Accounting||1||6%|