Use of neural network for modeling of non-linear process integration technology in chemical engineering

被引：10

作者：

Abilov, A ^{[1
]}

Zeybek, Z

机构：

[1] Ankara Univ, Dept Elect Engn, TR-06100 Ankara, Turkey

[2] Ankara Univ, Dept Chem Engn, TR-06100 Ankara, Turkey

来源：

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION | 2000年 / 39卷 / 05期

关键词：

industrial petrol refinery complex; neural network; modeling; non-linear processes; integration technology;

D O I：

10.1016/S0255-2701(00)00092-1

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The topology of an industrial petrol refinery complex (PRC) has been formed as a non-linear function by neural network. Starting from the topology of the integration technology' various choices of production and consumption rates were evaluated both technically and economically on the basis of non-linear material balances. The calculation of the weights of the units of PRC and the determination of the dependence of these units on each other have been performed according to the market conditions. The pertinent equation and the optimal parameters are presented. (C) 2000 Elsevier Science S.A. All rights reserved.

引用

页码：449 / 458

页数：10

共 18 条

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BHAT N, 1989, IFAC S DYC PLUS 89 M, P147

[2]

Bishop C. M, 1995, NEURAL NETWORKS PATT

[3] BIOPROCESS MODEL-BUILDING USING ARTIFICIAL NEURAL NETWORKS [J].