Prediction of Meander Delay System Parameters for Internet-of-Things Devices Using Pareto-Optimal Artificial Neural Network and Multiple Linear Regression.
Darius PlonisAndrius KatkeviciusAntanas GurskasVytautas UrbanaviciusRytis MaskeliunasRobertas DamaseviciusPublished in: IEEE Access (2020)
Keyphrases
- multiple linear regression
- input variables
- pareto optimal
- artificial neural networks
- variable selection
- multi objective
- software effort
- regression model
- neural network model
- nash equilibrium
- ann models
- neural network
- fuzzy rules
- multi objective optimization
- nsga ii
- membership functions
- multiple objectives
- software reliability
- prediction model
- levenberg marquardt
- back propagation
- genetic algorithm
- cross validation
- lower bound