October 17, 2017January 11, 2018 by admin

16: MG, NARMA & TE cont.

To isté čo pri #20 akurát s väčším rezervoárom + pridané korelácie medzi váhami rezervoárovej matice a transfer entropie tj. $\rho(w_{ij},TE_{X_{i}\rightarrow X_{j}})$

Parametre siete

	Standart	Normalized	Normalized & OG	Normalized & ON
Veľkosť rezervoiru	100	100	100	100
Train Length	1000	1000	1000	1000
Test length	1000	1000	1000	1000
Runs	10	10	10	10
W	N(0,1)	N(0,1)	N(0,1)	N(0,1)
Win MG	Unif[-0.5,0.5]	Unif[-0.5,0.5]	Unif[-0.5,0.5]	Unif[-0.5,0.5]
Win NARMA	Unif[0,0.4]	Unif[0,0.4]	Unif[0,0.4]	Unif[0,0.4]
Spectral radius	unscaled	0.9	0.9	0.9
Ortogonal	null	null	gradient descent	gradient descent
Wout training	pinv	pinv	pinv	pinv
Bias	false	false	false	false
Leaking rate	1	1	1	1
OG/ON iterations	0	0	30	30
OG/ON eta	0	0	0.03	0.070.9*t

Parametre estimátorov

	k_history	k_tau	l_history	l_tau	u	k
TE	1	1	1	1	1	4
AIS	1	1	null	null	null	4

Mackey – Glass

Mean reservoir

	Standart	Normalized	Normalized & OG	Normalized & ON
Mackey - Glass	0.0096	0.6245	0.6117	0.6351
NARMA	0.0093	0.0922	0.0801	0.0945

NRMSE

	Standart	Normalized	Normalized & OG	Normalized & ON
Mackey - Glass	1.1149	0.9577	0.6748	1.0472
NARMA	2.4119	0.8664	0.8338	0.8433

InputOutput TE

	Standart	Normalized	Normalized & OG	Normalized & ON
Mackey - Glass	-0.004	-0.0210	-0.0212	-0.0256
NARMA	-0.0013	0.3732	0.3743	0.3714

Mean reservoir-output TE

	Standart	Normalized	Normalized & OG	Normalized & ON
Mackey - Glass	-0.0001	0.3516	0.3601	0.3532
NARMA	-0.0006	0.0015	0.0014	0.0018

NARMA

AIS

Mean reservoir AIS

	Standart	Normalized	Normalized & OG	Normalized & ON
Mackey - Glass	0.0036	2.1694	2.1763	2.1910
NARMA	0.0023	0.1618	0.1675	0.1730

Zdrojaky:

MGTEnormalized.py

MGTEnormalizedOG.py

MGTEnormalizedON.py

NARMATEnormalized.py

NARMATEnormalizedOG.py

NARMATEnormalizedON.py