Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Fabio Galan-Prado"'
Autor:
Fabio Galan-Prado, Josep L. Rossello
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-13
Artificial neural networks (ANNs) is an exponentially growing field, mainly because of its wide range of applications to everyday life such as pattern recognition or time series forecasting. In particular, reservoir computing (RC) arises as an optima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f1014a2ca56ebf7308e5919949f496d
https://doi.org/10.1109/tnnls.2022.3201828
https://doi.org/10.1109/tnnls.2022.3201828
Autor:
Vincent Canals, Alejandro Morán, Saeid Safavi, Christian F. Frasser, Josep L. Rosselló, Fabio Galan-Prado, Dhinakar Radhakrishnan
Publikováno v:
Cognitive Computation.
Edge artificial intelligence or edge intelligence is an ever-growing research area due to the current popularization of the Internet of Things. Unfortunately, incorporation of artificial intelligence (AI) in smart devices operating at the edge is a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82271f4661f92d8092ddfd077d208559
https://doi.org/10.1007/s12559-020-09798-2
https://doi.org/10.1007/s12559-020-09798-2
Publikováno v:
PATMOS
In the recent years, Reservoir Computing arises as an emerging machine-learning technique that is highly suitable for time-series processing. In this work, we propose the implementation of reservoir computing systems in hardware via morphological neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1a54eb3e812a3b45ca8309bad1beb09
https://doi.org/10.1109/patmos.2019.8862100
https://doi.org/10.1109/patmos.2019.8862100
Publikováno v:
PATMOS
Stochastic spiking Neural Networks (SNN) is a new neural modeling oriented to include the intrinsic stochastic processes present in the brain. One of the main advantages of this kind of modeling is that they can be easily implemented in a digital cir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8606f6cb653b3640143fd4ece024cad6
https://doi.org/10.1109/patmos.2019.8862129
https://doi.org/10.1109/patmos.2019.8862129
Publikováno v:
International journal of neural systems. 29(8)
Spiking neural networks (SNN) are able to emulate real neural behavior with high confidence due to their bio-inspired nature. Many designs have been proposed for the implementation of SNN in hardware, although the realization of high-density and biol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4a7c55e693b3975ec247044f5e4ee16
https://pubmed.ncbi.nlm.nih.gov/30880526
https://pubmed.ncbi.nlm.nih.gov/30880526
Autor:
Alejandro Morán, Fabio Galan-Prado, Vincent Canals, Josep L. Rosselló, Christiam F. Frasser, Miquel L. Alomar, Miquel Roca, Erik S. Skibinsky-Gitlin, Eugeni Isern
Publikováno v:
Contributions to Statistics ISBN: 9783030260354
The hardware implementation of Echo State Networks (ESN) can be applied to situations where a quick response is needed in relation to how a certain signal will evolve. This is due to the possibility of connecting the ESN’s neurons in parallel, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71375a65d1c10f0470e44a0479d76743
https://doi.org/10.1007/978-3-030-26036-1_10
https://doi.org/10.1007/978-3-030-26036-1_10
Autor:
Fabio Galan-Prado, Josep L. Rosselló
Publikováno v:
Advances in Computational Intelligence ISBN: 9783319591520
IWANN (1)
IWANN (1)
During last years a lot of attention have been focused to the hardware implementation of Artificial Neural Networks (ANN) to efficiently exploit the inherent parallelism associated to these systems. From the different types of ANN, the Spiking Neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32d9ad60210845ac96a3e9b90fd82bcb
https://doi.org/10.1007/978-3-319-59153-7_48
https://doi.org/10.1007/978-3-319-59153-7_48