A hybrid artificial neural network—Particle swarm optimization algorithm model for the determination of target displacements in mid-rise regular reinforced-concrete …

MF Işık, F Avcil, E Harirchian, MA Bülbül… - Sustainability, 2023 - mdpi.com
The realistic determination of damage estimation and building performance depends on
target displacements in performance-based earthquake engineering. In this study, target …

Identification of pulse-like ground motions using artificial neural network

A Habib, I Youssefi, MM Kunt - Earthquake Engineering and Engineering …, 2022 - Springer
For more than 20 years, the concept of near-fault pulse-like ground motion has been a topic
of great interest due to its distinct characteristics, particularly due to directivity or fling effects …

Applications of AI in Health Monitoring of Structures in Potential Seismic Areas—A Review

CP Ginan, BR Jayalekshmi - A System Engineering Approach to Disaster …, 2022 - Springer
Artificial Intelligence (AI) can be used to solve complex problems in civil engineering which
involve time-consuming and arduous tasks, such that, the hurdles that appear when these …

基于随机森林方法的地震损失预测.

梁梓豪, 苗鹏宇, 王自法 - Dizhen Xuebao/Acta Seismologica …, 2024 - search.ebscohost.com
摘要针对现有的基于实际震害评估的大多研究仅限于某特定区域和某种结构类型,
且所采用的数据样本量也十分有限, 本文基于随机森林模型, 采用2011 年3 月11 日东日本MW9 …

The Effect of Data Decomposition on Prediction Performance in Wind Speed Prediction with Artificial Neural Network

S Şenkal, C Emeksiz - International Scientific and Vocational …, 2023 - dergipark.org.tr
This study investigates the effect of data decomposition to improve the performance of
artificial neural networks (ANNs), widely used in wind speed forecasting in the wind energy …

İnşaat Mühendisliğinde Yapay Zekâ Çalışmaları

B Gültekin, G Dogan - İleri Mühendislik Çalışmaları ve Teknolojileri …, 2021 - dergipark.org.tr
Son yıllarda teknolojinin gelişmesiyle ortaya çıkan yapay zekâ terimi hemen hemen her
alanda kendinden söz ettirmeyi ve gündem olmayı başarmıştır. Yararları ve zararları ile çok …

COMPARATIVE ASSESSMENT OF VARIOUS ARTIFICIAL NEURAL NETWORK TECHNIQUES FOR ESTIMATING THE SAFETY FACTOR OF ROAD EMBANKMENTS

H Alqawasmeh - GEOMATE Journal, 2023 - geomatejournal.com
The slope-stability analysis is one of the most important parameters for ensuring a safe
design of road embankments. Currently, various traditional approaches to computing this …

Earthquake loss prediction based on random forest algorithm

L Zihao, M Pengyu, W Jianming, W Zifa - Acta Seismologica Sinica, 2024 - dzxb.org
Rapid assessment of building damage and its severity after an earthquake is crucial for
emergency response and recovery. Accurate earthquake damage assessment is crucial for …

The ANALISIS PERBANDINGAN MUTU BETON FC 30 & FC 40 PADA STRUKTUR ABUTMENT DAN PIER PROYEK JEMBATAN WONOKERTO DEMAK

T Zhafira, JS Mohammad… - Jurnal Teknik Sipil …, 2023 - ejournal.um-sorong.ac.id
Jembatan memiliki fungsi sebagai lintasan untuk memperpendek jarak tanpa menutup
rintangan itu sendiri. Analisis pada jembatan ini berfokus pada perbandingan mutu beton …

The prediction of earthquake building structure strength: modified k-nearest neighbour employment

O Okfalisa, S Nugraha, S Saktioto… - … Journal of Electrical …, 2020 - section.iaesonline.com
The earthquake damage brings significant effects. The resilience of buildings against the
earthquake and the destruction's location is not an efficient outcome from previous research …