Prediction and optimization of electrospinning parameters for polymethyl methacrylate nanofiber fabrication using response surface methodology and artificial neural networks.
Hossein Mohammad KhanlouAli SadollahBee Chin AngJoong-Hoon KimSepehr TalebianAzadeh GhadimiPublished in: Neural Comput. Appl. (2014)
Keyphrases
- response surface methodology
- prediction model
- artificial neural networks
- electron beam
- neural network
- design parameters
- parameter optimization
- support vector regression
- anfis model
- regression model
- computational intelligence
- particle swarm optimisation
- genetic algorithm ga
- global optimization
- linear regression model
- optimization problems
- integrated circuit
- input parameters
- evolution strategy
- back propagation
- input variables
- neural network model
- kernel function