Predicting discharge coefficient of triangular labyrinth weir using extreme learning machine, artificial neural network and genetic programming.
Hojat KaramiSohrab KarimiHossein BonakdariShahaboddin ShamshirbandPublished in: Neural Comput. Appl. (2018)
Keyphrases
- genetic programming
- extreme learning machine
- artificial neural networks
- feed forward neural networks
- neural network
- back propagation
- feedforward neural networks
- activation function
- fitness function
- evolutionary computation
- support vector regression
- genetic algorithm
- evolutionary algorithm
- genetic algorithm ga
- feed forward
- hidden layer
- hidden nodes
- gaussian processes
- recurrent neural networks
- neural network model
- single layer
- multi layer
- neural nets
- multi layer perceptron
- radial basis function
- learning rules
- input variables
- cross validation