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[会议论文]

Vapor-liquid equilibria data at high pressures using artificial neural network

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Author:

Li, ZJ (Li, ZJ.) | Li, M (Li, M.) (Scholars:栗觅)

Indexed by:

CPCI-S

Abstract:

Using the BP Artificial Neutral Network (ANN) with the Levenberg-Marquardt algorithm, High-Pressure-Vapor-Liquid Equilibrium data of methane, ethane and ethylene system were calculated. Temperature, x(1) and x(2) were used as input, and Pressure and y as output. The comparison of the results showed that ANN can be successfully used to predicted vapor-liquid equilibrium at high pressures, and could be an effective method in VLE data processing at high pressure.

Author Community:

  • [ 1 ] Beijing Univ Technol, Beijing 100081, Peoples R China

Reprint Author's Address:

  • [Li, ZJ]Beijing Univ Technol, Beijing 100081, Peoples R China

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Source :

FRONTIERS ON SEPARATION SCIENCE AND TECHNOLOGY

Year: 2004

Page: 165-168

Language: English

Cited Count:

WoS CC Cited Count: 0

30 Days PV: 8

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