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
收藏
页码：1239 / 1244
页数：6
相关论文
共 50 条
  • [1] Artificial neural network meta models to enhance the prediction and consistency of multiphase reactor correlations
    Tarca, LA
    Grandjean, BPA
    Larachi, F
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2003, 42 (08) : 1707 - 1712
  • [2] An empirical model of the Earth's bow shock based on an artificial neural network
    Pallocchia, G.
    Trenchi, L.
    PLANETARY AND SPACE SCIENCE, 2021, 199
  • [3] Operational Dst index prediction model based on combination of artificial neural network and empirical model
    Park, Wooyeon
    Lee, Jaejin
    Kim, Kyung-Chan
    Lee, JongKil
    Park, Keunchan
    Miyashita, Yukinaga
    Sohn, Jongdae
    Park, Jaeheung
    Kwak, Young-Sil
    Hwang, Junga
    Frias, Alexander
    Kim, Jiyoung
    Yi, Yu
    JOURNAL OF SPACE WEATHER AND SPACE CLIMATE, 2021, 11
  • [4] Artificial Neural Network (ANN) Based Empirical Interpolation of Precipitation
    Joshi, Rajesh
    INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES, 2016, 1 (03) : 93 - 106
  • [5] Hydrocracker Reactor Catalyst Activity Model Using Artificial Neural Network
    Alhajri, Ibrahim H.
    Moghadassi, Abdolreza R.
    WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, VOLS 1 AND 2, 2010, : 674 - +
  • [6] Empirical study of financial affairs early warning model on companies based on Artificial Neural Network
    Bo, Tian
    Zheng, Qin
    ADVANCES IN NATURAL COMPUTATION, PT 1, 2006, 4221 : 313 - 320
  • [7] Artificial neural network modeling of a multiphase photodegradation system
    Pareek, VK
    Brungs, MP
    Adesina, AA
    Sharma, R
    JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY A-CHEMISTRY, 2002, 149 (1-3) : 139 - 146
  • [8] Artificial neural-network-based diagnosis of CVD barrel reactor
    Bhatikar, SR
    Mahajan, RL
    IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, 2002, 15 (01) : 71 - 78
  • [9] An artificial neural network based neutron field reconstruction method for reactor
    Cao Pei
    Gan Quan
    Song Jing
    Long Pengcheng
    Wang Fang
    Hu Liqin
    Wu Yican
    ANNALS OF NUCLEAR ENERGY, 2020, 138
  • [10] An empirical wave forecasting model based on the neural network
    Ota, T
    Kimura, A
    Hagi, Y
    STOCHASTIC HYDRAULICS 2000, 2000, : 453 - 460
12345