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

被引：5

作者：

Meshalkin, V. P. ^{[1
]}

Bol'shakov, A. A. ^{[2
]}

Petrov, D. Yu. ^{[3
]}

Krainov, O. A. ^{[2
]}

机构：

[1] Mendeleev Russian Univ Chem Technol, Moscow 125047, Russia

[2] Saratov State Tech Univ, Saratov 410054, Russia

[3] Russian Acad Sci, Inst Precis Mech & Control, Saratov 410028, Russia

来源：

THEORETICAL FOUNDATIONS OF CHEMICAL ENGINEERING | 2012年 / 46卷 / 03期

关键词：

Computer control systems - Computer software - Glass - Humidity control - Quality control;

D O I：

10.1134/S0040579512030062

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

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

页码：284 / 287

页数：4

共 50 条

[21] An Artificial Neural Networks based Software System for Improved Learning Experience
Kose, Utku
[J]. 2013 12TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2013), VOL 2, 2013, : 549 - 554
[22] Designing a multivariate-multistage quality control system using artificial neural networks
Niaki, Seyed Taghi Akhavan
Davoodi, Mehdi
[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2009, 47 (01) : 251 - 271
[23] System formation algorithm of communication network quality factors using artificial neural networks
Paraschuk, IB
[J]. 1ST IEEE INTERNATIONAL CONFERENCE ON CIRCUITS AND SYSTEMS FOR COMMNICATIONS, PROCEEDINGS, 2002, : 263 - 266
[24] Neural Metrics - software metrics in Artificial Neural Networks
Leung, W.K.
Simpson, R.
[J]. International Conference on Knowledge-Based Intelligent Electronic Systems, Proceedings, KES, 2000, 1 : 209 - 212
[25] Neural metrics - Software metrics in artificial neural networks
Leung, WK
Simpson, R
[J]. KES'2000: FOURTH INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, VOLS 1 AND 2, PROCEEDINGS, 2000, : 209 - 212
[26] A Study Regarding the Possibility of Optimizing the Supply Batch using Artificial Neural Networks
Ciupan, Emilia
[J]. 24TH DAAAM INTERNATIONAL SYMPOSIUM ON INTELLIGENT MANUFACTURING AND AUTOMATION, 2013, 2014, 69 : 141 - 149
[27] Prediction of polymer quality in batch polymerisation reactors using neural networks
Zhang, J
Martin, EB
Morris, AJ
Kiparissides, C
[J]. PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1997, : 1370 - 1374
[28] Reference evapotranspiration forecasting using different artificial neural networks algorithms
Chauhan, Seema
Shrivastava, R. K.
[J]. CANADIAN JOURNAL OF CIVIL ENGINEERING, 2009, 36 (09) : 1491 - 1505
[29] Software cost estimation using artificial neural networks with inputs selection
Papatheocharous, Efi
Andreou, Andreas S.
[J]. ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: DATABASES AND INFORMATION SYSTEMS INTEGRATION, 2007, : 398 - 407
[30] Improved Approach for Software Defect Prediction using Artificial Neural Networks
Sethi, Tanvi
Gagandeep
[J]. 2016 5TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (TRENDS AND FUTURE DIRECTIONS) (ICRITO), 2016, : 480 - 485

← 1 2 3 4 5 →