A comparison of back propagation and Generalized Regression Neural Networks performance in neutron spectrometry-Reference-Cited by-同舟云学术

A comparison of back propagation and Generalized Regression Neural Networks performance in neutron spectrometry

Published:2016-11 Issue: Volume:117 Page:20-26
ISSN:0969-8043
Container-title:Applied Radiation and Isotopes
language:en
Short-container-title:Applied Radiation and Isotopes

Author:

Martínez-Blanco Ma. del Rosario,Ornelas-Vargas Gerardo,Solís-Sánchez Luis Octavio,Castañeda-Miranada Rodrigo,Vega-Carrillo Héctor René,Celaya-Padilla José M.,Garza-Veloz Idalia,Martínez-Fierro Margarita,Ortiz-Rodríguez José Manuel

Funder

Fondo Sectorial de Investigación para la Educación

Fondos Mixtos SEP-CONACYT

PROSOFT

Publisher

Elsevier BV

Subject

Radiation

Reference47 articles.

1. Experimental determination of the response of four Bonner sphere sets to monoenergetic neutrons (II);Alevra;Radiat. Prot. Dosim.,1992

2. New Directions in Neural Networks;Apolloni,2009

3. Brain Theory and Neural Networks;Arbib,2003

4. Measurements of neutron specrta from fission;Bonner;Nucl. Phys.,1961

5. Application of neural networks for unfolding neutron spectra measured by means of Bonner spheres;Braga;Nucl. Instrum. Methods Phys. Res. Sect. A,2002

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comparative analysis between backpropagation and general regression neural networks to predict the tensile properties of fused filament fabricated parts;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2024-01-16

2. Optimizing acute stroke outcome prediction models: Comparison of generalized regression neural networks and logistic regressions;PLOS ONE;2022-05-11

3. Oil property sensing array based on a general regression neural network;Tribology International;2021-12

4. Programmable Soft-Matter Electronics;The Journal of Physical Chemistry Letters;2021-02-18

5. Modeling seeded suspension polymerization of core-shell polymer particles using computational fluid dynamics;Chemical Engineering Science;2021-02