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Table 3 Random Protocol – Summary of results obtained by the Bi-modal (Bm), Back propagation (Bp) and Sine net (Sn) ANN models.

From: Placental determinants of fetal growth: identification of key factors in the insulin-like growth factor and cytokine systems using artificial neural networks

ANN Model

Target

Mean Accuracy %

Errors

 

FGR (%)

AGA (%)

Arithmetic

Weighted

 

BM

75,00

84.62

79,81

80,00

5

BP

75,00

84.62

79,81

80,00

5

SN

75,00

76,92

75,96

76,00

6

  1. The percentage rates of correct classification of FGR and AGA are shown in the testing phase, together with the arithmetic and weighted mean accuracy.
  2. FGR: fetal growth restriction;
  3. AGA: appropriate for gestational age.
  4. BM Bimodal neural network
  5. BP: Back propagation neural network
  6. SN: Sine net neural network