Prediction of Seismic Performance Level of Reinforced Concrete Building Based on Structural and Seismic Parameters Combination Using Artificial Neural Network
Author:
Affiliation:
1. Studies Mapua University,School of Graduate,Manila,Philippines
2. Mapua University,School of Civil, Environmental, and Geological Engineering,Manila,Philippines
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10217220/10217222/10217356.pdf?arnumber=10217356
Reference14 articles.
1. Use of Artificial Neural Network for pre Design Cost Estimation of Building Projects;ambrule;Int J Recent Innov Trends Comput Commun,2017
2. Backpropagation Neural Network with Feature Sensitivity Analysis: Pothole Prediction Model for Flexible Pavements using Traffic and Climate Associated Factors
3. Forecasting Construction Cost Using Artificial Neural Network for Road Projects in the Department of Public Works and Highways Region XI;gante;Mod Manag Based Big Data III,2022
4. Projection of Water Demand and Sensitivity analysis of Predictors affecting Household usage in Urban Areas using Artificial Neural Network
5. Rapid Prediction of Seismic Incident Angle’s Influence on the Damage Level of RC Buildings Using Artificial Neural Networks
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