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Journals / Eastern Anatolian Journal of Science / 2020 / Volume: 6 Issue: 2

Car Price Prediction Using an Artificial Neural Network

Mehmet Mehdi Karakoç(AĞRI İBRAHİM ÇEÇEN ÜNİVERSİTESİ, MESLEK YÜKSEKOKULU)
Gaffari Çelik(AĞRI İBRAHİM ÇEÇEN ÜNİVERSİTESİ, MESLEK YÜKSEKOKULU)
Asaf Varol(FIRAT ÜNİVERSİTESİ, TEKNOLOJİ FAKÜLTESİ)
Pages
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Publication Date
2020-12-16
DOI
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AI Summary & Key Takeaways

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

More data is needed for better results.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:When buying and selling cars, it can be a challenge to assign the correct price.
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Key Findings & Data:As a result of the study, using data from approximately 1000 cars, a success rate of 91.38% was obtained.
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Conclusion & Impact:More data is needed for better results.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Artificial Neural Networks · Artificial Intelligence · Car Price Prediction

Abstract

When buying and selling cars, it can be a challenge to assign the correct price. Artificial neural networks, a branch of artificial intelligence, are frequently used for such calculations. In this study we designed two different artificial neural networks for car price forecasting and tested them using data from a car sales website. For data, a software was developed using the C# programming language and the MSSQL Server database management system, also HTMLAgilityPack library was used to read the data on the website. A procedure was written with T-SQL language to digitize the data. As a result of the study, using data from approximately 1000 cars, a success rate of 91.38% was obtained. More data is needed for better results.

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Cite This Article

Karakoç, M. M., Çelik, G., Varol, A. (2020). Car Price Prediction Using an Artificial Neural Network. Eastern Anatolian Journal of Science, Volume: 6 Issue: 2. https://ajindex.com/articles/1475669

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