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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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Master||7||29%|
|Student > Ph. D. Student||4||17%|
|Student > Bachelor||3||13%|
|Readers by discipline||Count||As %|
|Physics and Astronomy||2||8%|
|Economics, Econometrics and Finance||1||4%|