Optimization of drilling parameters using Taguchi technique and response surface methodology (RSM) in drilling of AISI 304 steel with cryogenically treated HSS drills.
Adem ÇiçekTurgay KivakErgün EkiciPublished in: J. Intell. Manuf. (2015)
Keyphrases
- response surface methodology
- iron ore
- prediction model
- support vector regression
- particle swarm optimisation
- parameter settings
- neural network
- optimization algorithm
- parameter optimization
- anfis model
- experimental data
- global optimization
- optimization problems
- steel industry
- machine learning
- constrained optimization
- evolution strategy
- feature vectors
- support vector