Synapse. A Neutron Spectrum Unfolding Code Based on Generalized Regression Artificial Neural Networks.
Ma. del Rosario Martinez-BlancoArturo Serrano-MuñozHéctor René Vega-CarrilloMarco Aurelio de Sousa-LacerdaRoberto Mendez-VillafañeEduardo GallegoAntonio del Rio de SantiagoLuis Octavio Solís-SánchezJose Manuel Ortiz-RodriguezPublished in: EAI Endorsed Trans. Ind. Networks Intell. Syst. (2020)
Keyphrases
- artificial neural networks
- feed forward back propagation
- learning rules
- support vector
- neural network
- generalized regression neural network
- computational intelligence
- using artificial neural networks
- back propagation
- neural network model
- simple linear
- source code
- regression model
- feed forward artificial neural networks
- support vector regression
- petri net
- radial basis function
- synaptic weights
- linear regression
- model selection
- multi layer perceptron
- genetic algorithm
- regression problems
- multilayer perceptron
- feed forward
- regression analysis
- feed forward neural networks
- evolutionary algorithm
- generalized linear
- software systems
- case study
- genetic algorithm ga
- cross validation