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Table 2 Parameter sensitivity analysis with the chain data stream

From: The ubiquitous self-organizing map for non-stationary data streams

\(T\)

\(\beta\)

Mean \(E{^{\prime }}(t)\)

Mean \(\lambda (t)\)

Convergence t

500

0.5

1.5542e\(-\)02

9.9451e\(-\)01

5119

 

0.6

1.5377e\(-\)02

9.9251e\(-\)01

6669

 

0.7

1.5260e\(-\)02

9.8955e\(-\)01

6667

 

0.8

1.5201e\(-\)02

9.8422e\(-\)01

6661

 

0.9

1.5356e\(-\)02

9.7235e\(-\)01

6699

 

1.0

1.5915e\(-\)02

8.7072e\(-\)01

7326

1000

0.5

1.5759e\(-\)02

9.9663e\(-\)01

7029

 

0.6

1.5787e\(-\)02

9.9537e\(-\)01

7509

 

0.7

1.5780e\(-\)02

9.9355e\(-\)01

7480

 

0.8

1.5824e\(-\)02

9.9083e\(-\)01

7537

 

0.9

1.5888e\(-\)02

9.8480e\(-\)01

7573

 

1.0

1.6085e\(-\)02

9.3651e\(-\)01

7709

1500

0.5

1.6260e\(-\)02

9.9753e\(-\)01

9483

 

0.6

1.6261e\(-\)02

9.9671e\(-\)01

9561

 

0.7

1.6260e\(-\)02

9.9555e\(-\)01

9543

 

0.8

1.6288e\(-\)02

9.9361e\(-\)01

9569

 

0.9

1.6319e\(-\)02

9.9002e\(-\)01

9608

 

1.0

1.6436e\(-\)02

9.6240e\(-\)01

9582

2000

0.5

1.6864e\(-\)02

9.9818e\(-\)01

8264

 

0.6

1.6892e\(-\)02

9.9746e\(-\)01

7976

 

0.7

1.6902e\(-\)02

9.9661e\(-\)01

8114

 

0.8

1.6887e\(-\)02

9.9603e\(-\)01

8352

 

0.9

1.6904e\(-\)02

9.9403e\(-\)01

8307

 

1.0

1.6974e\(-\)02

9.7860e\(-\)01

8264

2500

0.5

1.7317e\(-\)02

9.9872e\(-\)01

10,022

 

0.6

1.7339e\(-\)02

9.9836e\(-\)01

10,006

 

0.7

1.7361e\(-\)02

9.9808e\(-\)01

9993

 

0.8

1.7356e\(-\)02

9.9756e\(-\)01

10,035

 

0.9

1.7383e\(-\)02

9.9613e\(-\)01

10,001

 

1.0

1.7391e\(-\)02

9.8976e\(-\)01

10,027

3000

0.5

1.7819e\(-\)02

9.9910e\(-\)01

10,541

 

0.6

1.7833e\(-\)02

9.9892e\(-\)01

10,518

 

0.7

1.7839e\(-\)02

9.9856e\(-\)01

10,535

 

0.8

1.7855e\(-\)02

9.9811e\(-\)01

10,510

 

0.9

1.7856e\(-\)02

9.9701e\(-\)01

10,543

 

1.0

1.7863e\(-\)02

9.9405e\(-\)01

10,532