Standard

The analysis of efficiency of artificial intelligence methods application for an assessment of feasibility of scientific and technical decisions. / Khalyasmaa, I. A.; Eroshenko, S. A.
Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. Institute of Electrical and Electronics Engineers Inc., 2017. стр. 883-886 7970754.

Результаты исследований: Глава в книге, отчете, сборнике статей › Материалы конференции › Рецензирование

Harvard

Khalyasmaa, IA & Eroshenko, SA 2017, The analysis of efficiency of artificial intelligence methods application for an assessment of feasibility of scientific and technical decisions. в Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017., 7970754, Institute of Electrical and Electronics Engineers Inc., стр. 883-886, 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017, St. Petersburg, Российская Федерация, 24/05/2017. https://doi.org/10.1109/SCM.2017.7970754

APA

Khalyasmaa, I. A., & Eroshenko, S. A. (2017). The analysis of efficiency of artificial intelligence methods application for an assessment of feasibility of scientific and technical decisions. в Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 (стр. 883-886). [7970754] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCM.2017.7970754

Vancouver

Khalyasmaa IA, Eroshenko SA. The analysis of efficiency of artificial intelligence methods application for an assessment of feasibility of scientific and technical decisions. в Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. Institute of Electrical and Electronics Engineers Inc. 2017. стр. 883-886. 7970754 doi: 10.1109/SCM.2017.7970754

Author

Khalyasmaa, I. A. ; Eroshenko, S. A. / The analysis of efficiency of artificial intelligence methods application for an assessment of feasibility of scientific and technical decisions. Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017. Institute of Electrical and Electronics Engineers Inc., 2017. стр. 883-886

BibTeX

@inproceedings{125b2e9addd74a13aadcf2ce08096219,
title = "The analysis of efficiency of artificial intelligence methods application for an assessment of feasibility of scientific and technical decisions",
keywords = "artificial neural networks, neuro-fuzzy inference, scientific and technical decisions",
author = "Khalyasmaa, {I. A.} and Eroshenko, {S. A.}",
year = "2017",
month = jul,
day = "6",
doi = "10.1109/SCM.2017.7970754",
language = "English",
pages = "883--886",
booktitle = "Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "20th IEEE International Conference on Soft Computing and Measurements, SCM 2017 ; Conference date: 24-05-2017 Through 26-05-2017",

}

RIS

TY - GEN

T1 - The analysis of efficiency of artificial intelligence methods application for an assessment of feasibility of scientific and technical decisions

AU - Khalyasmaa, I. A.

AU - Eroshenko, S. A.

PY - 2017/7/6

Y1 - 2017/7/6

KW - artificial neural networks

KW - neuro-fuzzy inference

KW - scientific and technical decisions

UR - http://www.scopus.com/inward/record.url?scp=85027107587&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000425254800271

U2 - 10.1109/SCM.2017.7970754

DO - 10.1109/SCM.2017.7970754

M3 - Conference contribution

AN - SCOPUS:85027107587

SP - 883

EP - 886

BT - Proceedings of 2017 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th IEEE International Conference on Soft Computing and Measurements, SCM 2017

Y2 - 24 May 2017 through 26 May 2017

ER -

ID: 2043329