Abstract
In everyday life, people repeatedly exposed to ionizing radiation. Radiation sources is as natural background radiation due to the natural radioactivity of the earth, cosmic and solar radiation and artificial emitters in enterprise engineering. Therefore, the determination of the total human exposure in engineering industry will consist of a variety of factors will be strictly defined for a specific person, and undoubtedly true. Neural network technology can completely resolve this problem, follow neyroalgoritm presented in this paper.
| Original language | English |
|---|---|
| Article number | 012114 |
| Journal | IOP Conference Series: Materials Science and Engineering |
| Volume | 142 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2 Sep 2016 |
| Event | 7th International Scientific Practical Conference on Innovative Technologies in Engineering - Yurga, Russian Federation Duration: 19 May 2016 → 21 May 2016 |
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ASJC Scopus subject areas
- Materials Science(all)
- Engineering(all)
Cite this
Solution of the Applied Task to Determine Total Exposure for Mechanical Engineering Workers. / Medvedeva, O. V.; Orlova, K. N.; Borovikov, I. F.
In: IOP Conference Series: Materials Science and Engineering, Vol. 142, No. 1, 012114, 02.09.2016.Research output: Contribution to journal › Conference article
}
TY - JOUR
T1 - Solution of the Applied Task to Determine Total Exposure for Mechanical Engineering Workers
AU - Medvedeva, O. V.
AU - Orlova, K. N.
AU - Borovikov, I. F.
PY - 2016/9/2
Y1 - 2016/9/2
N2 - In everyday life, people repeatedly exposed to ionizing radiation. Radiation sources is as natural background radiation due to the natural radioactivity of the earth, cosmic and solar radiation and artificial emitters in enterprise engineering. Therefore, the determination of the total human exposure in engineering industry will consist of a variety of factors will be strictly defined for a specific person, and undoubtedly true. Neural network technology can completely resolve this problem, follow neyroalgoritm presented in this paper.
AB - In everyday life, people repeatedly exposed to ionizing radiation. Radiation sources is as natural background radiation due to the natural radioactivity of the earth, cosmic and solar radiation and artificial emitters in enterprise engineering. Therefore, the determination of the total human exposure in engineering industry will consist of a variety of factors will be strictly defined for a specific person, and undoubtedly true. Neural network technology can completely resolve this problem, follow neyroalgoritm presented in this paper.
UR - http://www.scopus.com/inward/record.url?scp=84988529983&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988529983&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/142/1/012114
DO - 10.1088/1757-899X/142/1/012114
M3 - Conference article
AN - SCOPUS:84988529983
VL - 142
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
SN - 1757-8981
IS - 1
M1 - 012114
ER -