Reservoir computing
id:
reservoir-computing-300-9326781
title:
Reservoir computing
text:
Reservoir computing is a framework for computation derived from recurrent neural network theory that maps input signals into higher dimensional computational spaces through the dynamics of a fixed, non-linear system called a reservoir. After the input signal is fed into the reservoir, which is treated as a "black box," a simple readout mechanism is trained to read the state of the reservoir and map it to the desired output. The first key benefit of this framework is that training is performed on
brand slug:
wiki
category slug:
encyclopedia
description:
Type of recurrent neural network with random and non-trainable internal structure
original url:
https://en.wikipedia.org/wiki/Reservoir_computing
date created:
date modified:
2024-01-04T17:14:55Z
main entity:
{"identifier":"Q7315328","url":"https://www.wikidata.org/entity/Q7315328"}
image:
fields total:
13
integrity:
14