title: Estimation of the radon concentration in soil related to the environmental parameters by a modified Adaline neural network.
abstract: A new method based on adaptive linear neuron (Adaline) is used to estimate the radon concentration in soil associated with the environmental parameters. Analysis of the data obtained from a site in Thailand indicates that our proposed method is able to differentiate temporal variation of radon concentration related to the environmental parameters from those caused by phenomena in the earth (e.g. earthquake). The result also shows agreement between our method and another method based on impulse responses from multivariable time series (complex mathematical equations).
authors.affiliation: (AEOI), P.O. Box 14155-1339, Tehran, Iran. anegar@seai.neda.net.ir
authors.forename: A
authors.initials: A
authors.lastname: Negarestani
authors.forename: S
authors.initials: S
authors.lastname: Setayeshi
authors.forename: M
authors.initials: M
authors.lastname: Ghannadi-Maragheh
authors.forename: B
authors.initials: B
authors.lastname: Akashe
mesh_terms: D004189:Disaster Planning; D004190:Disasters; D007700:Kinetics; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D011834:Radiation Monitoring; D011886:Radon / Q000032:analysis*; D012987:Soil / Q000032:analysis*; D013785:Thailand; D013997:Time Factors
chemical_list: D012987:Soil; D011886:Radon