Analysis and optimization of gas-centrifugal separation of uranium isotopes by neural networks

Brazilian Journal of Chemical Engineering

S.c.p. Migliavacca²  C. Rodrigues²  C.a.o. Nascimento¹ 

[1] ,Instituto de Pesquisa Energética e Nucleares

关键词: neural networks;    isotope separation;    gas centrifugation;    optimization;    uranium isotopes;    modeling;   

DOI  :  10.1590/S0104-66322002000300005

来源: SciELO

【 摘 要 】

Neural networks are an attractive alternative for modeling complex problems with too many difficulties to be solved by a phenomenological model. A feed-forward neural network was used to model a gas-centrifugal separation of uranium isotopes. The prediction showed good agreement with the experimental data. An optimization study was carried out. The optimal operational condition was tested by a new experiment and a difference of less than 1% was found.

【 授权许可】

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