Neural Network Modeling for Prediction of Weld Bead Geometry in Laser Microwelding

Table 2

Neural network configuration for the training in MATLAB.

Parameter	Specification
No. of neurons in input layer	3
No. of neurons in hidden layer	4–20 (in steps of 2)
No. of neurons in output layer	2
Training function	Levenberg-Marquardt (trainlm)
Performance function	Mean squared error (MSE)
Activation function	logsig
Maximum epoch (training time)	1000
Performance goal	1.0×10^−3
Learning rate	0.05
Normalized range	−1 to 1