Hybrid Neuro-Particle Swarm Optimization Model for Predicting Depression in Asphalt Pavements-Reference-Cited by-同舟云学术

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Hybrid Neuro-Particle Swarm Optimization Model for Predicting Depression in Asphalt Pavements

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 5th International Conference on Computing and Big Data (ICCBD)
language:
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Author:

de Jesus Ralph Alwin M.¹,Silva Dante L.²

Affiliation:

1. School of Graduate Studies Mapua University,Manila,Philippines

2. School of Civil, Environmental and Geological Engineering Mapua University,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10079843/10079950/10080159.pdf?arnumber=10080159

Reference39 articles.

1. Motor Roads as a Factor of the Economic Potential of the Republic of Tatarstan

2. Artificial neural network back-calculation of flexible pavements with sensitivity analysis using Garson’s and connection weights algorithms

3. Development of the Road Pavement Deterioration Model Based on the Deep Learning Method

4. Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization

5. Using a Neural Network Model to Assess the Effect of Antistripping Agents on the Performance of Moisture-Conditioned Asphalt

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1. Performance Evaluation of Fiber Waste-Reinforced Polymer Using Backpropagation Neural Network Model and Finite Element Analysis;2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML);2023-08-04

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