Literature DB >> 12573327

Estimation of the radon concentration in soil related to the environmental parameters by a modified Adaline neural network.

A Negarestani1, S Setayeshi, M Ghannadi-Maragheh, B Akashe.   

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).

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12573327     DOI: 10.1016/s0969-8043(02)00304-4

Source DB:  PubMed          Journal:  Appl Radiat Isot        ISSN: 0969-8043            Impact factor:   1.513


  2 in total

1.  Imputation by feature importance (IBFI): A methodology to envelop machine learning method for imputing missing patterns in time series data.

Authors:  Adil Aslam Mir; Kimberlee Jane Kearfott; Fatih Vehbi Çelebi; Muhammad Rafique
Journal:  PLoS One       Date:  2022-01-13       Impact factor: 3.240

2.  Delegated Regressor, A Robust Approach for Automated Anomaly Detection in the Soil Radon Time Series Data.

Authors:  Muhammad Rafique; Aleem Dad Khan Tareen; Adil Aslim Mir; Malik Sajjad Ahmed Nadeem; Khawaja M Asim; Kimberlee Jane Kearfott
Journal:  Sci Rep       Date:  2020-02-20       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.