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Table 1 Results from the algorithm used to determine the best ANN architecture

From: A method using artificial neural networks to morphologically assess mouse blastocyst quality

Error from training

12.07%

Error from validation

30.00%

Error from test

25.00%

Error from all data

18.37%

Mean Square Error (MSE)

0.023206

Training Data

60%

Validation Data

20%

Test Data

20%

Number of neurons in the first layer

18

Number of neurons in the second layer

13

Function in the first layer

purelin

Function in the second layer

logsig

Training function

trainscg