title: Determination of neutron fluence-to-dose conversion coefficients by means of artificial neural networks.
abstract: An Artificial Neural Network has been designed to determinate the effective dose, the ambient dose equivalent and the personal dose equivalent fluence-to-dose conversion factors using seven count rates obtained with a Bonner Sphere Spectrometer. The data of 211 neutron spectra and their respective fluence-to-dose conversion coefficients were used to train and to test ANN. The ANN was trained using the trainsec algorithm, the definitive ANN was 7:8:9:10. From the 30 set of data used to test the ANN performance the largest difference was 11% that is close to the difference obtained in neutron dosimetry.
authors.affiliation: Unidad Académica de Estudios Nucleares, Universidad Autónoma de Zacatecas, C. Ciprés 10, Fracc. La Peñuela, 98068 Zacatecas, Zac. México. Electronic address: vic_mc68010@yahoo.com.
authors.forename: Victor M
authors.initials: VM
authors.lastname: Hernandez-Davila
authors.forename: Tzinnia G
authors.initials: TG
authors.lastname: Soto-Bernal
authors.forename: Hector Rene
authors.initials: HR
authors.lastname: Vega-Carrillo
keywords: Artificial neural networks; Fluence-to-dose conversion coefficients; Neutron