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
  • [1] Algorithms and software system for controlling the quality of glass batch using artificial neural networks
    Meshalkin, V. P.
    Bol'shakov, A. A.
    Petrov, D. Yu.
    Krainov, O. A.
    [J]. THEORETICAL FOUNDATIONS OF CHEMICAL ENGINEERING, 2012, 46 (03) : 284 - 287
  • [2] NONLINEAR MODELING AND CONTROLLING OF ARTIFICIAL MUSCLE SYSTEM USING NEURAL NETWORKS
    Tian Sheping
    Ding Guoqing
    Yan Detian
    Lin Liangming Department of Information Measurement and Instrumentation
    [J]. Chinese Journal of Mechanical Engineering, 2004, (02) : 306 - 310
  • [3] Nonlinear controlling of artificial muscle system with neural networks
    Tian, SP
    Ding, GQ
    Yan, DT
    Lin, LM
    Shi, M
    [J]. IEEE ROBIO 2004: Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2004, : 56 - 59
  • [4] Controlling green sand mould properties using artificial neural networks and genetic algorithms - A comparison
    Karunakar, D. Benny
    Datta, G. L.
    [J]. APPLIED CLAY SCIENCE, 2007, 37 (1-2) : 58 - 66
  • [5] Prototype of a Security System with Artificial Intelligence Using Neural Networks and Evolutionary Algorithms
    Sergio Ordonez, G.
    Cesar Guerra, T.
    [J]. SMART TECHNOLOGY, 2018, 213 : 31 - 39
  • [6] An integrated water quality monitoring system using artificial neural networks
    Yong, CK
    Lim, CM
    [J]. MODELING AND CONTROL IN ENVIRONMENTAL ISSUES 2001, 2002, : 315 - 320
  • [7] Artificial neural networks design using evolutionary algorithms
    Castillo, PA
    Arenas, MG
    Castillo-Valdivieso, JJ
    Merelo, JJ
    Prieto, A
    Romero, G
    [J]. ADVANCES IN SOFT COMPUTING: ENGINEERING DESIGN AND MANUFACTURING, 2003, : 43 - 52
  • [8] Using genetic algorithms to optimize artificial neural networks
    Ding, Shifei
    Xu, Li
    Su, Chunyang
    Zhu, Hong
    [J]. Journal of Convergence Information Technology, 2010, 5 (08)
  • [9] ENHANCING SOFTWARE RELIABILITY OF A COMPLEX SOFTWARE SYSTEM ARCHITECTURE USING ARTIFICIAL NEURAL-NETWORKS ENSEMBLE
    Kapur, Parmod Kumar
    Yadavalli, V. S. Sarma
    Khatri, Sunil Kumar
    Basirzadeh, Mashaallah
    [J]. INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, 2011, 18 (03) : 271 - 284
  • [10] Hybrid Computational Models for Software Cost Prediction: An Approach Using Artificial Neural Networks and Genetic Algorithms
    Papatheocharous, Efi
    Andreou, Andreas S.
    [J]. ENTERPRISE INFORMATION SYSTEMS-B, 2009, 19 : 87 - 100
12345