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Table 1 The average accuracy of and time needed by EM algorithm, Q and C neural networks with different numbers of neurons in 2D spaces with two Gaussian clusters plus a background. The notation \((\cdot )\) stands for the architecture of a neural network as described in Eq. 15

From: Superiority of quadratic over conventional neural networks for classification of gaussian mixture data

 

Accuracy (%)

Time (s)

C(2-3)

31.1752

2.44

C(2-10-3)

91.8122

23.15

C(2-100-3)

91.8391

213.61

Q(2-3)

91.8525

16.30

EM

91.8625

Â