scholarly journals Nuclear mass predictions for the crustal composition of neutron stars: A Bayesian neural network approach

2016 ◽  
Vol 93 (1) ◽  
Author(s):  
R. Utama ◽  
J. Piekarewicz ◽  
H. B. Prosper
Keyword(s):  
Neural Network ◽  
Neutron Stars ◽  
Network Approach ◽  
Nuclear Mass ◽  
Bayesian Neural Network ◽  
Neural Network Approach ◽  
Crustal Composition

Alpha half-lives calculation of superheavy nuclei with Q α -value predictions based on the Bayesian neural network approach

2019 ◽  
Vol 46 (11) ◽  
pp. 115109 ◽  
Author(s):  
Ubaldo Baños Rodríguez ◽  
Cristofher Zuñiga Vargas ◽  
Marcello Gonçalves ◽  
Sergio Barbosa Duarte ◽  
Fernando Guzmán
Keyword(s):  
Neural Network ◽  
Superheavy Nuclei ◽  
Network Approach ◽  
Bayesian Neural Network ◽  
Neural Network Approach

A Bayesian Neural Network Approach for Sleep Apnea Classification

2003 ◽  
pp. 284-293 ◽  
Author(s):  
Oscar Fontenla-Romero ◽  
Bertha Guijarro-Berdiñas ◽  
Amparo Alonso-Betanzos ◽  
Ana del Rocío Fraga-Iglesias ◽  
Vicente Moret-Bonillo
Keyword(s):  
Neural Network ◽  
Sleep Apnea ◽  
Network Approach ◽  
Bayesian Neural Network ◽  
Neural Network Approach

Performance of the Levenberg–Marquardt neural network approach in nuclear mass prediction

2017 ◽  
Vol 44 (4) ◽  
pp. 045110 ◽  
Author(s):  
Hai Fei Zhang ◽  
Li Hao Wang ◽  
Jing Peng Yin ◽  
Peng Hui Chen ◽  
Hong Fei Zhang
Keyword(s):  
Neural Network ◽  
Network Approach ◽  
Nuclear Mass ◽  
Neural Network Approach ◽  
Levenberg Marquardt

Interface depth modelling of gravity data and altitude variations: a Bayesian neural network approach

2019 ◽  
Vol 32 (8) ◽  
pp. 3183-3202 ◽  
Author(s):  
Saumen Maiti ◽  
Ch. Ravi Kumar ◽  
Prasenjit Sarkar ◽  
R. K. Tiwari ◽  
Uppala Srinu
Keyword(s):  
Neural Network ◽  
Gravity Data ◽  
Network Approach ◽  
Bayesian Neural Network ◽  
Neural Network Approach
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