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Journals / Journal of Investigations on Engineering and Technology / 2018 / Cilt: 1 - Sayı: 2

Artificial Neural Network-Based New Methodology for Modeling of Asphalt Mixtures and Comparison with IKE Method

Erol İSKENDER
Atakan AKSOY
Şükrü ÖZŞAHİN
Hamdi Tolga KAHRAMAN
Semih Dinçer KONAK
Pages
1–13
Publication Date
2018-12-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Thus, powerful, efficient and alternative approaches were presented to the literature for modeling the asphalt mixtures.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Artificial Neural Networks (ANNs) are the most adopted approach in modeling of engineering problems.
📊
Key Findings & Data:The legibility, comprehensibility, consistency, estimation performance, standard deviation etc. of the presented approach has been compared with the previous study.
💡
Conclusion & Impact:Thus, powerful, efficient and alternative approaches were presented to the literature for modeling the asphalt mixtures.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Intuitive k-nearest neighbor estimator (IKE) · Artificial neural networks (ANN) · Asphalt mixtures

Abstract

Artificial Neural Networks (ANNs) are the most adopted approach in modeling of engineering problems. In this paper, we have developed ANN-based a novel modeling approach for asphalt mixtures. The Flow, Stability and MQ of the mixtures have been modeled and predicted by the introduced ANN-based approach. The legibility, comprehensibility, consistency, estimation performance, standard deviation etc. of the presented approach has been compared with the previous study. The experimental studies have shown that the proposed approach provides robustness, stability and a high accuracy ratio for estimation the Flow, Stability and MQ. While this paper has presented a novel approach to modeling the asphalt mixtures, it has also verified the results of literature. Thus, powerful, efficient and alternative approaches were presented to the literature for modeling the asphalt mixtures.

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Cite This Article

İSKENDER, E., AKSOY, A., ÖZŞAHİN, Ş., KAHRAMAN, H. T., KONAK, S. D. (2018). Artificial Neural Network-Based New Methodology for Modeling of Asphalt Mixtures and Comparison with IKE Method. Journal of Investigations on Engineering and Technology, Cilt: 1 - Sayı: 2, 1–13. https://ajindex.com/articles/777506

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