A Quantitative Study on Simultaneous Effects of Governing Parameters in Electrospinning of Nanofibers using Modified Neural Network using Genetic Algorithm.
Shayan SeyedinShima MaghsoodlooVahid MottaghitalabPublished in: Int. J. Chemoinformatics Chem. Eng. (2017)
Keyphrases
- neural network
- genetic algorithm
- artificial neural networks
- input parameters
- quantitative and qualitative
- multi objective
- fuzzy logic
- positive effects
- data sets
- collaborative learning
- simulated annealing
- maximum likelihood
- statistical analysis
- metaheuristic
- tabu search
- fitness function
- neural network model
- parameter values
- expert systems
- multi layer perceptron
- pattern recognition
- optimal parameters
- support vector