Digital Implementation of a Single Dynamical Node Reservoir Computer
Minimal hardware implementations of machine-learning techniques have been attracting increasing interest over the last decades. In particular, field-programmable gate array (FPGA) implementations of neural networks (NNs) are among the most appealing ones, given the match between system requirements...
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| Vydáno v: | IEEE transactions on circuits and systems. II, Express briefs Ročník 62; číslo 10; s. 977 - 981 |
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| Hlavní autoři: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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New York
IEEE
01.10.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 1549-7747, 1558-3791 |
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| Abstract | Minimal hardware implementations of machine-learning techniques have been attracting increasing interest over the last decades. In particular, field-programmable gate array (FPGA) implementations of neural networks (NNs) are among the most appealing ones, given the match between system requirements and FPGA properties, namely, parallelism and adaptation. Here, we present an FPGA implementation of a conceptually simplified version of a recurrent NN based on a single dynamical node subject to delayed feedback. We show that this configuration is capable of successfully performing simple real-time temporal pattern classification and chaotic time-series prediction. |
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| AbstractList | Minimal hardware implementations of machine-learning techniques have been attracting increasing interest over the last decades. In particular, field-programmable gate array (FPGA) implementations of neural networks (NNs) are among the most appealing ones, given the match between system requirements and FPGA properties, namely, parallelism and adaptation. Here, we present an FPGA implementation of a conceptually simplified version of a recurrent NN based on a single dynamical node subject to delayed feedback. We show that this configuration is capable of successfully performing simple real-time temporal pattern classification and chaotic time-series prediction. |
| Author | Canals, Vincent Mirasso, Claudio R. Rosselló, Jose L. Escalona-Morán, Miguel Fischer, Ingo Soriano, Miguel C. Alomar, Miquel L. |
| Author_xml | – sequence: 1 givenname: Miquel L. surname: Alomar fullname: Alomar, Miquel L. email: miquellleo.alomar@uib.es organization: Phys. Dept., Univ. de les Illes Balears, Palma de Mallorca, Spain – sequence: 2 givenname: Miguel C. surname: Soriano fullname: Soriano, Miguel C. email: miguel@ifisc.uib-csic.es organization: Inst. de Fis. Interdisciplinar y Sist. Complejos, Univ. de les Illes Balears, Palma de Mallorca, Spain – sequence: 3 givenname: Miguel surname: Escalona-Morán fullname: Escalona-Morán, Miguel email: miguelangel@ifisc.uib-csic.es organization: Inst. de Fis. Interdisciplinar y Sist. Complejos, Univ. de les Illes Balears, Palma de Mallorca, Spain – sequence: 4 givenname: Vincent surname: Canals fullname: Canals, Vincent email: vincent.canals@gmail.com organization: Phys. Dept., Univ. de les Illes Balears, Palma de Mallorca, Spain – sequence: 5 givenname: Ingo surname: Fischer fullname: Fischer, Ingo email: ingo@ifisc.uib-csic.es organization: Inst. de Fis. Interdisciplinar y Sist. Complejos, Univ. de les Illes Balears, Palma de Mallorca, Spain – sequence: 6 givenname: Claudio R. surname: Mirasso fullname: Mirasso, Claudio R. email: claudio@ifisc.uib-csic.es organization: Inst. de Fis. Interdisciplinar y Sist. Complejos, Univ. de les Illes Balears, Palma de Mallorca, Spain – sequence: 7 givenname: Jose L. surname: Rosselló fullname: Rosselló, Jose L. email: j.rossello@uib.es organization: Phys. Dept., Univ. de les Illes Balears, Palma de Mallorca, Spain |
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| Cites_doi | 10.1109/SURV.2011.040310.00002 10.1109/TCSII.2012.2204112 10.1016/j.neunet.2007.04.003 10.1007/s13218-012-0204-5 10.1162/089976602760407955 10.1126/science.1091277 10.1103/PhysRevE.91.020801 10.1109/JBHI.2014.2332001 10.1038/ncomms1476 10.1016/j.neunet.2007.12.009 10.1126/science.267326 10.1038/ncomms2368 10.1016/j.neucom.2010.03.021 10.1364/OE.20.003241 10.1109/TNNLS.2014.2311855 10.1038/srep00287 |
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| Keywords | recurrent neural networks (RNN) hardware (HW) multiple signal classification field-programmable gate arrays (FPGAs) time-series prediction neural network (NN) Artificial neural networks (ANNs) pattern recognition |
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| SubjectTerms | Artificial Neural Networks (ANN) Circuits Classification Computers Delays Digital computers Dynamical systems Dynamics Field programmable gate arrays field-programmable gate arrays (FPGA) Hardware hardware (HW) multiple signal classification neural network (NN) Neural networks pattern recognition Random access memory recurrent neural networks (RNN) Reservoirs time series prediction Training |
| Title | Digital Implementation of a Single Dynamical Node Reservoir Computer |
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