Analysis and optimization of gas-centrifugal separation of uranium isotopes by neural networks
Author:
Affiliation:
1. Instituto de Pesquisa Energética e Nucleares
2. University of São Paulo, Brazil
Publisher
FapUNIFESP (SciELO)
Subject
General Chemical Engineering
Link
http://www.scielo.br/pdf/bjce/v19n3/13186.pdf
Reference15 articles.
1. The Theory of Isotope Separation as Aapplied to the Large Scale Production of U235;Cohen K.,1951
2. Neural Networks for Sensor Validation and Plant-wide Monitoring. ECN-RX-91-089;Eryürek E.,1991
3. On the Theory of Isotope Separation by Thermal Diffusion;Furry W.H.;Phys. Rev.,1939
4. Multilayer Feedforward Networks are Universal Approximators;Hornik K.;Neural Networks,1989
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1. AI and atoms: How artificial intelligence is revolutionizing nuclear material production;Bulletin of the Atomic Scientists;2023-09-03
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