Cover Image

Model of allowing for the influence of concurrent factors on the accuracy of determination of mechanical characteristics of metals based on Bayesian network

Saved in:

Bibliographic Details
Date:	2009
Main Authors:	A. S. Babichev, S. A. Babichev, A. V. Sharko
Format:	Article
Language:	English
Published:	2009
Series:	Technical diagnostics and non-destructive testing
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0000466621
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Similar Items

Applying Bayesian networks in analysis of actuarial risks
by: Panibratov, R., et al.
Published: (2025)

Overview of methods of reverse engineering of gene regulatory networks: Boolean and Bayesian networks
by: Frolova, A.O.
Published: (2012)

Overview of methods of reverse engineering of gene regulatory networks: Boolean and Bayesian networks
by: A. O. Frolova
Published: (2012)

Factors of influence on the accuracy of thermal converters
by: P. D. Mykytiuk
Published: (2017)

Factors of influence on the accuracy of thermal converters
by: P. D. Mikitjuk
Published: (2017)

Neural and Bayesian networks in the problem of credit risk analysis
by: Kuznietsova, N. V., et al.
Published: (2015)

Military conflicts modeling by making use of Bayesian networks
by: H. I. Kanhun, et al.
Published: (2018)

The Modern State and Perspectives of Clastering Methods Development for High Dimension Data Analysis
by: S. Babichev
Published: (2015)

Increasing the Accuracy of Determining the Cardiothoracic Ratio with the Help of an Ensemble of Neural Networks
by: Конюхов, В. Д., et al.
Published: (2024)

Increasing the Accuracy of Determining the Cardiothoracic Ratio with the Help of an Ensemble of Neural Networks
by: Конюхов, В. Д., et al.
Published: (2024)

The mathematical foundations of probabilistic estimation in fuzzy Bayesian belief networks
by: I. N. Parasjuk, et al.
Published: (2016)

Technology of Wavelet-Filtra¬tion of the Gene Expression Profiles in Order to Remove the Background Noise
by: S. A. Babichev
Published: (2017)

Probabilistic Approach to Ranking Search Results using Bayesian Belief Networks
by: V. V. Zosimov
Published: (2023)

Accelerating algorithms for Bayesian network recovery. Adaptation to structures without cycles
by: Balabanov, O.S.
Published: (2025)

The Bayesian network a priori estimating in the multilevel approach. Part 1
by: O. V. Verevka, et al.
Published: (2017)

Modeling technology based on fuzzy object-oriented Bayesian belief networks
by: Yershov, S.V., et al.
Published: (2018)

Modeling technology based on fuzzy object-oriented Bayesian belief networks
by: S. V. Yershov, et al.
Published: (2016)

The estimation method to determine the influence of the factors in hot-rolled metal production technology on the stability of the mechanical properties
by: S. A. Vorobej, et al.
Published: (2017)

Modulo codes with summation in concurrent error detection systems. II. decrease of hardware redundancy of concurrent error detection systems
by: V. V. Sapozhnikov, et al.
Published: (2016)

Bayesian statistics in human genetics
by: L. A. Atramentova
Published: (2020)

The method of conflict analysis of the information states in a fuzzy Bayesian belief network
by: S. V. Yershov, et al.
Published: (2016)

The Classification Method of Vocal Speech Sounds on the Basis of Soundlet Bayesian Neural Network
by: E. E. Fedorov
Published: (2015)

Evaluation of strength of joints produced by welding with concurrent brazing
by: V. I. Savuljak, et al.
Published: (2015)

Ensuring the accuracy of the approximation of R/T-characteristics of NTC-thermistor based on neural network modeling
by: S. S. Fedin, et al.
Published: (2015)

Bayesian procedures of recognition of hematology diseases
by: A. M. Gupal, et al.
Published: (2017)

Using Bayesian network models for early assessment of cyberattack threats to electricity generation facility
by: Гальчинський, Л. Ю., et al.
Published: (2025)

Distributed Bayesian machine learning procedures
by: B. A. Beletskij
Published: (2019)

Models of concurrent program running in resource constrained environment
by: D. Rahozin
Published: (2020)

Models of concurrent program running in resource constrained environment
by: Rahozin, D.V.
Published: (2020)

Concurrent Use of Real Object and Visual Information in Training
by: V. P. Karchevskij, et al.
Published: (2013)

Models of concurrent program running in resource constrained environment
by: Rahozin, D.
Published: (2020)

Using the bayesian recognition procedures for analysis of the influence of channel blockers in brain gliomas
by: Ja Gridina, et al.
Published: (2015)

Distributed bayesian procedures of the text information recognition
by: B. A. Beletskij, et al.
Published: (2018)

On accuracy of the parameter of deep subcriticality determination by the Feynman method
by: V. N. Pavlovich, et al.
Published: (2014)

Determining the accuracy of a fuzzy model of the technology foresight
by: A. V. Kupchyn, et al.
Published: (2022)

Improving the accuracy of thermal power determination of VVER
by: V. I. Borysenko, et al.
Published: (2019)

To the issue of accuracy of determination of irradiation embrittlement coefficient
by: L. I. Chyrko, et al.
Published: (2020)

Influence of physico-technological and mechanical properties foampolystyrene model on the dimensional accuracy and a roughness of castings
by: N. A. Taranenko, et al.
Published: (2013)

The finite-difference scheme of higher order of accuracy for the two-dimensional Poisson equation in a rectangle with allowance for the effect of the Dirichlet boundary condition
by: N. V. Majko
Published: (2018)

Bayesian approach in recognition of secondary erythrocytosis and polycythemia vera
by: A. M. Gupal, et al.
Published: (2024)