Algorithms and software system for controlling the quality of glass batch using artificial neural networks

被引：0
|
作者：
V. P. Meshalkin
A. A. Bol’shakov
D. Yu. Petrov
O. A. Krainov
机构：
[1] Mendeleev Russian University of Chemical Technology,Institute of Precision Mechanics and Control
[2] Saratov State Technical University,undefined
[3] Russian Academy of Sciences,undefined
来源：
Theoretical Foundations of Chemical Engineering | 2012年 / 46卷
关键词：
Artificial Neural Network; Glass Batch; Oriented Programming Language; Customer Program; Standard Data Processing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The problem of the computer-aided control of the temperature, humidity, and homogeneity of a glass batch and the degree of its compositional correspondence to a recipe using mathematical models based on artificial neural networks and a Siemens software tool system to improve the quality of flat glass has been solved.
引用
收藏
页码：284 / 287
页数：3
相关论文
共 50 条
  • [41] RBC effluent quality representation using Artificial Neural Networks
    Ojha, CSP
    [J]. ENVIRONMENTAL MODELING, 1999, : 165 - 179
  • [42] Determination of factors controlling the particle size in nanoemulsions using Artificial Neural Networks
    Amani, Amir
    York, Peter
    Chrystyn, Henry
    Clark, Brian J.
    Do, Duong Q.
    [J]. EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2008, 35 (1-2) : 42 - 51
  • [43] Determination of visual quality of tomato paste using computerized inspection system and artificial neural networks
    Velioglu, Hasan Murat
    Boyaci, Ismail Hakki
    Kurultay, Sefik
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2011, 77 (02) : 147 - 154
  • [44] Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks
    Ganesh, Botla
    Kumar, Vadlagattu Varun
    Rani, Kalipatnapu Yamuna
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (05) : 970 - 979
  • [45] Prediction of polymer quality in batch polymerisation reactors using robust neural networks
    Zhang, J
    Morris, AJ
    Martin, EB
    Kiparissides, C
    [J]. CHEMICAL ENGINEERING JOURNAL, 1998, 69 (02) : 135 - 143
  • [46] Knowledge Discovery in Medical Mining by using Genetic Algorithms and Artificial Neural Networks
    Srivathsa, P. K.
    [J]. 2ND INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN SCIENCE AND TECHNOLOGY (ICM2ST-11), 2011, 1414
  • [47] Using neural networks and genetic algorithms as building blocks for artificial life simulations
    Beuster, G
    [J]. ARTIFICIAL NEURAL NETS AND GENETIC ALGORITHMS, 2001, : 363 - 366
  • [48] Optimization of solar systems using artificial neural-networks and genetic algorithms
    Kalogirou, SA
    [J]. APPLIED ENERGY, 2004, 77 (04) : 383 - 405
  • [49] Design of electroceramic materials using artificial neural networks and multiobjective evolutionary algorithms
    Scott, D. J.
    Manos, S.
    Coveney, P. V.
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2008, 48 (02) : 262 - 273
  • [50] Prediction of Aircraft Failure Times Using Artificial Neural Networks and Genetic Algorithms
    Altay, Ayca
    Ozkan, Omer
    Kayakutlu, Gulgun
    [J]. JOURNAL OF AIRCRAFT, 2014, 51 (01): : 47 - 53
12345