An Empirical Model of a Multiphase Reactor Based on Artificial Neural Network

被引：1

作者：

Zakrzewska, Barbara ^{[1
]}

Jaworski, Zdzislaw ^{[1
]}

机构：

[1] W Pomeranian Univ Technol, Chem Engn Fac, PL-71065 Szczecin, Poland

来源：

ICHEAP-9: 9TH INTERNATIONAL CONFERENCE ON CHEMICAL AND PROCESS ENGINEERING, PTS 1-3 | 2009年 / 17卷

关键词：

D O I：

10.3303/CET0917207

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

An empirical model of a multiphase reactor based on artificial neural network has been developed. The multilayer feedforward network with one hidden layer has been used. The effect of the number of neurons in the hidden layer on the process parameters has also been examined. The model determines the system response to changes in the inlet variables. An optimum network architecture possessing good generalization ability has been determined in this study. The reactor model obtained from the network training process can be used in industrial practice for controlling the reactor in real time.

引用

页码：1239 / 1244

页数：6

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