Statements (19)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
theoretical computer science
recurrent neural network |
| gptkbp:abbreviation |
gptkb:LSM
|
| gptkbp:application |
robotics
speech recognition time series prediction |
| gptkbp:characteristic |
exploits dynamic response to input signals
uses randomly connected recurrent network (the liquid) output is read by a linear classifier (the readout) |
| gptkbp:field |
gptkb:machine_learning
computational neuroscience |
| https://www.w3.org/2000/01/rdf-schema#label |
liquid state machine
|
| gptkbp:inspiredBy |
biological neural networks
|
| gptkbp:introduced |
gptkb:Wolfgang_Maass
|
| gptkbp:introducedIn |
2002
|
| gptkbp:relatedTo |
gptkb:echo_state_network
reservoir computing |
| gptkbp:bfsParent |
gptkb:Echo_State_Network
|
| gptkbp:bfsLayer |
6
|