Efficient parallel implementation of reservoir computing systems

Reservoir computing (RC) is a powerful machine learning methodology well suited for time-series processing. The hardware implementation of RC systems (HRC) may extend the utility of this neural approach to solve real-life problems for which software solutions are not satisfactory. Nevertheless, the...

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Veröffentlicht in:	Neural computing & applications 2020-04, Vol.32 (7), p.2299-2313
Hauptverfasser:	Alomar, M. L., Skibinsky-Gitlin, Erik S., Frasser, Christiam F., Canals, Vincent, Isern, Eugeni, Roca, Miquel, Rosselló, Josep L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Energy conservation Fault tolerance Field programmable gate arrays Gate counting Hardware Image Processing and Computer Vision Integrated circuits Machine learning Networks Neurons Original Article Parallel connected Power Power management Probability and Statistics in Computer Science Synapses
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