Hybrid artificial intelligent for dielectric constant of concrete

Optimization of dielectric constant of concrete specifications based on hybrid artificial intelligent is used in this paper. in this study, neural network with feed forward neural network is applied in the system. The value of dielectric constant is estimated were determined by the number of hidden layers of NN.matlab is used with Simulink to enhance the complicated system.

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Publication Details

Journal
International Journal of Science and Research Archive
Published
2024-12-30
DOI
https://doi.org/10.30574/ijsra.2024.13.2.2356
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
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article

Hybrid artificial intelligent for dielectric constant of concrete

Kareem Fadhil Abood, Israa Adnan Najem, Jaber Ghaib Talib
2 links
International Journal of Science and Research Archive
BIM and Construction Integration
article

Hybrid artificial intelligent for dielectric constant of concrete

Kareem Fadhil Abood, Israa Adnan Najem, Jaber Ghaib Talib
article en

Abstract

Optimization of dielectric constant of concrete specifications based on hybrid artificial intelligent is used in this paper. in this study, neural network with feed forward neural network is applied in the system. The value of dielectric constant is estimated were determined by the number of hidden layers of NN.matlab is used with Simulink to enhance the complicated system.

International Journal of Science and Research ArchiveVol. 13(2)
Sustainable cities and communities
Openalex Percentile: Top 73%
BIM and Construction Integration
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Hybrid artificial intelligent for dielectric constant of concrete — Kareem Fadhil Abood, Israa Adnan Najem, et al. · International Journal of Science and Research Archive (2024) | TGRS Research Map | TGRS