Abstract
In the paper present the results of the use of the neural network algorithms to find a function {Sigma}{sub a}=f(K, U, Th,...). The easily measurable parameters (K, U, Th concentrations, lithology) were used to estimate the thermal neutron absorption cross-section {Sigma}{sub a}, which is difficult to measure in the borehole conditions. This paper is suggesting a possible solution to the problem. This method may have an important application in the well-logging data treatment. (author). 6 refs, 9 tabs.
Citation Formats
Loskiewicz, J, and Swakon, J.
Estimation of thermal neutron cross sections from K, U, Th concentrations for rock samples using neural network algorithms.
Poland: N. p.,
1992.
Web.
Loskiewicz, J, & Swakon, J.
Estimation of thermal neutron cross sections from K, U, Th concentrations for rock samples using neural network algorithms.
Poland.
Loskiewicz, J, and Swakon, J.
1992.
"Estimation of thermal neutron cross sections from K, U, Th concentrations for rock samples using neural network algorithms."
Poland.
@misc{etde_10102710,
title = {Estimation of thermal neutron cross sections from K, U, Th concentrations for rock samples using neural network algorithms}
author = {Loskiewicz, J, and Swakon, J}
abstractNote = {In the paper present the results of the use of the neural network algorithms to find a function {Sigma}{sub a}=f(K, U, Th,...). The easily measurable parameters (K, U, Th concentrations, lithology) were used to estimate the thermal neutron absorption cross-section {Sigma}{sub a}, which is difficult to measure in the borehole conditions. This paper is suggesting a possible solution to the problem. This method may have an important application in the well-logging data treatment. (author). 6 refs, 9 tabs.}
place = {Poland}
year = {1992}
month = {Dec}
}
title = {Estimation of thermal neutron cross sections from K, U, Th concentrations for rock samples using neural network algorithms}
author = {Loskiewicz, J, and Swakon, J}
abstractNote = {In the paper present the results of the use of the neural network algorithms to find a function {Sigma}{sub a}=f(K, U, Th,...). The easily measurable parameters (K, U, Th concentrations, lithology) were used to estimate the thermal neutron absorption cross-section {Sigma}{sub a}, which is difficult to measure in the borehole conditions. This paper is suggesting a possible solution to the problem. This method may have an important application in the well-logging data treatment. (author). 6 refs, 9 tabs.}
place = {Poland}
year = {1992}
month = {Dec}
}