Collective behavior of a small-world recurrent neural system with scale-free distribution.
about
A priori data-driven multi-clustered reservoir generation algorithm for echo state networkNonlinear system modeling with random matrices: echo state networks revisitedEfficient reinforcement learning of a reservoir network model of parametric working memory achieved with a cluster population winner-take-all readout mechanism.The combination of circle topology and leaky integrator neurons remarkably improves the performance of echo state network on time series prediction.Extending stability through hierarchical clusters in echo state networks.The architecture of dynamic reservoir in the echo state network.Simple deterministically constructed cycle reservoirs with regular jumps.
P2860
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P2860
Collective behavior of a small-world recurrent neural system with scale-free distribution.
description
2007 nî lūn-bûn
@nan
2007 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Collective behavior of a small ...... with scale-free distribution.
@ast
Collective behavior of a small ...... with scale-free distribution.
@en
Collective behavior of a small ...... with scale-free distribution.
@nl
type
label
Collective behavior of a small ...... with scale-free distribution.
@ast
Collective behavior of a small ...... with scale-free distribution.
@en
Collective behavior of a small ...... with scale-free distribution.
@nl
prefLabel
Collective behavior of a small ...... with scale-free distribution.
@ast
Collective behavior of a small ...... with scale-free distribution.
@en
Collective behavior of a small ...... with scale-free distribution.
@nl
P356
P1476
Collective behavior of a small ...... with scale-free distribution.
@en
P2093
Zhidong Deng
P304
P356
10.1109/TNN.2007.894082
P577
2007-09-01T00:00:00Z