Predicting soil permanganate oxidizable carbon (POXC) by coupling DRIFT spectroscopy and artificial neural networks (ANN).
Andrew MargenotTerry O' NeillRolf SommerVenkatesh AkellaPublished in: Comput. Electron. Agric. (2020)
Keyphrases
- artificial neural networks
- feed forward back propagation
- electron microscopy
- feed forward
- neural network
- ann models
- using artificial neural networks
- back propagation
- computational intelligence
- x ray
- application of artificial neural networks
- infrared
- neural network model
- support vector
- radial basis function
- genetic algorithm
- hybrid model
- genetic algorithm ga
- multilayer perceptron
- feed forward neural networks
- data sets
- input variables
- neural nets
- recurrent neural networks
- soft computing
- activation function
- hidden layer
- levenberg marquardt
- concept drift
- hidden neurons
- carbon dioxide
- error accumulation
- feed forward artificial neural networks