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Table 3 Summary of the stepwise ANN parameters

From: A simpler method of preprocessing MALDI-TOF MS data for differential biomarker analysis: stem cell and melanoma cancer studies

Parameter Setting
ANN architecture I-2-1. For each run, the increment of 1 node in the input layer, I
Search method Stepwise
ANN learning algorithm Backpropagation
ANN activation function Tanh
Learning rate 0.1
Momentum rate 0.5
Maximum epochs 3000
Window epoch 1000
Threshold for error 0.01
Random sampling 50
Maximum repeats on stepwise 10
Maximum loops on the whole modelling process 10
Cross-validation Monte-Carlo with the ratio of 60:20:20