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Using neural networks with deep learning to predict and assess the ultimate resource structures of buildings

Akimov D.   (PhD, MIREA MSTU (Moscow))

Kotelnikov V.   (PhD, MIREA MSTU (Moscow))

Skoseleva D.   (graduate student, MIREA MSTU (Moscow))

Dyatchenkova A.   (graduate student, MIREA MSTU (Moscow))

The task of prediction of a limit resource of constructions of steel concrete constructions on the basis of neural networks is considered. The analysis of results of application of a convolution neural network for prediction and assessment of a limit resource is carried out.

Keywords:limit resource, assessment of constructions, depth training, convolution neural networks, Kendall's correlation, deep learning.
 

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Citation link:
Akimov D. , Kotelnikov V. , Skoseleva D. , Dyatchenkova A. Using neural networks with deep learning to predict and assess the ultimate resource structures of buildings // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2017. -№01. -С. 20-22
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