Comparative study of predictability of response surface methodology (RSM) and artificial neural network-particle swarm optimization (ANN-PSO) for total colour difference of pineapple fortified rasgulla processing.
Tanmay SarkarMolla SalauddinSudipta Kumar HazraRunu ChakrabortyPublished in: Int. J. Intell. Networks (2020)
Keyphrases
- comparative study
- artificial neural networks
- particle swarm optimization
- response surface methodology
- pso algorithm
- particle swarm optimisation
- anfis model
- particle swarm optimization pso
- particle swarm optimization algorithm
- genetic algorithm
- neural network
- global optimization
- particle swarm
- genetic algorithm ga
- prediction model
- particle swarm optimizer
- convergence speed
- swarm intelligence
- multi objective
- ann models
- support vector regression
- back propagation
- hybrid algorithm
- differential evolution
- computational intelligence
- inertia weight
- feed forward
- neural network model
- test functions
- ant colony optimization
- global search
- input variables
- recurrent neural networks
- optimisation problems
- considerable increase
- faster convergence
- optimization algorithm
- metaheuristic
- genetic programming
- evolutionary programming
- support vector
- population diversity
- search engine
- fuzzy logic
- evolutionary algorithm