Design of experiments and focused grid search for neural network parameter optimization

• Published in: Neurocomputing (Amsterdam) Vol. 186; pp. 22 - 34
• Main Authors: Pontes, F.J., Amorim, G.F., Balestrassi, P.P., Paiva, A.P., Ferreira, J.R.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 19.04.2016
• Subjects: Artificial Neural Network; Design of Experiment; Design of experiments; Focused Grid Search; Learning theory; Machining; Mathematical models; Neural networks; Searching; Surface roughness; Tuning; Design of Experiment; Artificial Neural Network; Focused Grid Search; Tuning; Machining

The present work offers some contributions to the area of surface roughness modeling by Artificial Neural Networks (ANNs) in machining processes. It proposes a method for an optimized project of a Multi-Layer Perceptron (MLP) network architecture applied for the prediction of Average Surface Roughne...