Prediction of the quality of pulsed metal inert gas welding using statistical parameters of arc signals in artificial neural network.
Sukhomay PalSurjya K. PalArun K. SamantarayPublished in: Int. J. Comput. Integr. Manuf. (2010)
Keyphrases
- welding process
- radial basis function neural network
- artificial neural networks
- industrial processes
- back propagation
- radial basis function
- rbfnn
- multilayer perceptron
- neural network
- prediction accuracy
- ann models
- high quality
- input variables
- pattern classification
- signal processing
- hidden layer
- predictive model
- quality improvement
- quality assessment
- prediction error
- rbf neural network
- prediction model
- feed forward
- statistical models
- quality prediction
- fault diagnosis