CONSISTENCY IN THE PREDICTION OF DERIVED PROPERTIES FROM CUBIC EQUATIONS OF STATE IMPROVED THROUGH HYBRID MODELS OF NEURAL NETWORKS.
Vol 17 (2009)

CONSISTENCY IN THE PREDICTION OF DERIVED PROPERTIES FROM CUBIC EQUATIONS OF STATE IMPROVED THROUGH HYBRID MODELS OF NEURAL NETWORKS.

Research Articles
https://doi.org/10.3303/CET0917249
Published 20 May 2009
Bravo-Sanchez, U.I.
Rico-Martinez, R.
Castillo-Borja, F.
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Bravo-Sanchez U., Rico-Martinez R., Castillo-Borja F., 2009, CONSISTENCY IN THE PREDICTION OF DERIVED PROPERTIES FROM CUBIC EQUATIONS OF STATE IMPROVED THROUGH HYBRID MODELS OF NEURAL NETWORKS., Chemical Engineering Transactions, 17, 1491-1496.
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Abstract

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