On Application of Artificial Neural Networks to Control Quality of Protection Environment

Vladimir N. Ageyev

On Application of Artificial Neural Networks to Control Quality of Protection Environment

Vladimir N. Ageyev *

Contact

On Application of Artificial Neural Networks to Control Quality of Protection Environment

Article Fingerprint

ReserarchID

CSTFG8Q0

On Application of Artificial Neural Networks to Control Quality of Protection Environment Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

The principles of constructing artificial neural networks for a quality control system for the operation of ship equipment related to environmental protection are considered. The concentration of harmful substances in exhaust gases and bilge waters depends on many factors related to both the condition of the equipment and external conditions. Analytically describing this dependence is extremely difficult, therefore, it is proposed to use artificial neural networks to monitor the state of equipment. The paper describes how to create a neural network such as a self-organizing feature map and methods for its training.

References

4 Cites in Article

Reference Format

V Kruglov (2002). Artificial neural networks.
T Kohonen (2008). Self-Organizing Maps.
S Osovsky (2002). Information in Neural Networks.
Lynde Buzo,A Gray,R (1980). An algorithm for vector quantizer desingn.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Vladimir N. Ageyev. 2019. "On Application of Artificial Neural Networks to Control Quality of Protection Environment". Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 19 (GJCST Volume 19 Issue D4).

More Citation Formats

Select Citation Style:

Download Citation

GJCST Volume 19 Issue D4

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-D Classification F.1.1

Submission ReceivedDecember 7, 2018
Peer Review Double Blind
Handling Editor
Accepted December 31, 2018
Published January 15, 2019

Version of record

v1.2

Issue date

November 14, 2019

Language

English

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 141

Country: Unknown

Subject: Global Journal of Computer Science and Technology

Authors: Vladimir N. Ageyev (PhD/Dr. count: 0)

View Count (all-time): 484

Total Views (Real + Logic): 2106

Total Downloads (simulated): 126

Publish Date: 2019 01, Tue

Monthly Totals (Real + Logic):

Month 1: 47 views
Month 2: 34 views
Month 3: 44 views
Month 4: 31 views
Month 5: 46 views
Month 6: 20 views
Month 7: 48 views
Month 8: 35 views
Month 9: 28 views
Month 10: 45 views
Month 11: 37 views
Month 12: 35 views
Month 13: 32 views
Month 14: 25 views
Month 15: 25 views
Month 16: 27 views
Month 17: 24 views
Month 18: 30 views
Month 19: 26 views
Month 20: 34 views
Month 21: 32 views
Month 22: 31 views
Month 23: 19 views
Month 24: 38 views
Month 25: 43 views
Month 26: 29 views
Month 27: 30 views
Month 28: 15 views
Month 29: 30 views
Month 30: 39 views
Month 31: 29 views
Month 32: 27 views
Month 33: 45 views
Month 34: 23 views
Month 35: 47 views
Month 36: 38 views
Month 37: 20 views
Month 38: 18 views
Month 39: 41 views
Month 40: 36 views
Month 41: 35 views
Month 42: 26 views
Month 43: 26 views
Month 44: 24 views
Month 45: 34 views
Month 46: 34 views
Month 47: 21 views
Month 48: 20 views
Month 49: 21 views
Month 50: 20 views
Month 51: 30 views
Month 52: 30 views
Month 53: 31 views
Month 54: 27 views
Month 55: 30 views
Month 56: 33 views
Month 57: 27 views
Month 58: 24 views
Month 59: 19 views
Month 60: 39 views
Month 61: 32 views
Month 62: 29 views
Month 63: 44 views
Month 64: 47 views
Month 65: 13 views
Month 66: 22 views
Month 67: 19 views
Month 68: 47 views
Month 69: 22 views
Month 70: 17 views
Month 71: 26 views
Month 72: 42 views
Month 73: 22 views
Month 74: 22 views
Month 75: 71 views
Month 76: 57 views
Month 77: 55 views
Month 78: 55 views
Month 79: 31 views
Month 80: 49 views
Month 81: 15 views
Month 82: 13 views
Month 83: 11 views
Month 84: 46 views
Month 85: 31 views
Month 86: 37 views
Month 87: 29 views
Month 88: 26 views
Month 89: 37 views
Month 90: 24 views
Month 91: 56 views
Month 92: 43 views
Month 93: 25 views

Total Views: 2.1K

Total Downloads: 126

All Trends