Prediction of Vapor-liquid Equilibrium Databy Using Radial Basis Neural Networks

Most of the Chemical Engineering processes are nonlinear and complex in nature. They often require conventional modeling and simulation techniques based on certain simplified transport, kinetic and thermodynamic assumptions. These assumptions may, however, alter the exact nature of the system and wo...

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Veröffentlicht in:	Chemical and Biochemical Engineering Quarterly 2006-09, Vol.20 (3), p.319
Hauptverfasser:	Govindarajan, L, Sabarathinam, PL
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural network radial basis network vapor liquid equilibrium
Online-Zugang:	Volltext
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