| Autor: |
Dion, Guillaume, Mejaouri, Salim, Sylvestre, Julien |
| Předmět: |
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| Zdroj: |
Journal of Applied Physics; 2018, Vol. 124 Issue 15, pN.PAG-N.PAG, 9p, 2 Diagrams, 10 Graphs |
| Abstrakt: |
Reservoir computing was achieved by constructing a network of virtual nodes multiplexed in time and sharing a single silicon beam exhibiting a classical Duffing non-linearity as the source of nonlinearity. The delay-coupled electromechanical system performed well on time series classification tasks, with error rates below 0.1% for the 1st, 2nd, and 3rd order parity benchmarks and an accuracy of (78 ± 2) % for the TI-46 spoken word recognition benchmark. As a first demonstration of reservoir computing using a non-linear mass-spring system in MEMS, this result paves the way to the creation of a new class of compact devices combining the functions of sensing and computing. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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