Chaotic Liquid State Machine
2015 ◽
Vol 9
(4)
◽
pp. 1-20
Keyword(s):
The authors implement a Liquid State Machine composed from a pool of chaotic spiking neurons. Furthermore, a synaptic plasticity mechanism operates on the connection weights between the neurons inside the pool. A special feature of the system's classification capability is that it can learn the class of a set of time varying inputs when trained from positive examples only, thus, it is a one class classifier. To demonstrate the applicability of this novel neurocomputing architecture, the authors apply it for Online Signature Verification.
2016 ◽
Vol 05
(06)
◽
pp. 188-191
Keyword(s):
2019 ◽
Vol 14
(6)
◽
pp. 1624-1637
◽
2006 ◽
Vol 15
(11)
◽
pp. 3540-3549
◽
Keyword(s):