Öz
Kaynakça
- Talu M. F. and Tatar Y.; An Edge detection Method for Using Model based Artificial Neural Network (In Turkish). Journal of Turkey Informatics and Computer Science Foundation. 1(1), 74-80, (2005)
- Laxmi V. and Rohil H.: License Plate Recognition System using Back Propagation Neural Network. International Journal of Computer Applications, 99 (8), 29-37, (2014)
- Han M.-W. and Kopacck, P.: Optimization Using Artificial Neural Networks. IFAC Proceedings Volumes. 28 (24), 357-360, (1995)
- Thati A., Biswas A., and Chowdhury S. R.: Breath acetone-based non-invasive detection of blood glucose levels. International Journal on Smart Sensing and Intelligent Systems, 2 (8), 1244-1260, (2015)
- Deperlioğlu Ö. and Köse, U.: An educational tool for artificial neural networks. Computers & Electrical Engineering. 37 (3), 392-402, (2011)
- Elmas Ç.: Artificial Neural Network – theory, architecture, training, implementation (In Turkish), Ankara, Turkey: Seçkin Press, (2003)
- Karcı A. and Demir M.: Estimation of protein structures by classification of angles between a carbons of amino acids based on artificial neural Networks. Expert Systems with Applications, 36 (1), 5541-5548, (2009)
- Google Trends: https://trends.google.com /trends/explore?q=Arabam.com,Sahibinden.com, Araba.com, arabam.com, tasit.com&geo=TR. (2018). Accessed 12 November 2018
- Bala R. and Kumar D.: Classification Using ANN: A Review. International Journal of Computational Intelligence Research. 13 (7), 1811-1820, (2017)
Öz
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.
Anahtar Kelimeler
Artificial Neural Networks Artificial Intelligence Car Price Prediction
Kaynakça
- Talu M. F. and Tatar Y.; An Edge detection Method for Using Model based Artificial Neural Network (In Turkish). Journal of Turkey Informatics and Computer Science Foundation. 1(1), 74-80, (2005)
- Laxmi V. and Rohil H.: License Plate Recognition System using Back Propagation Neural Network. International Journal of Computer Applications, 99 (8), 29-37, (2014)
- Han M.-W. and Kopacck, P.: Optimization Using Artificial Neural Networks. IFAC Proceedings Volumes. 28 (24), 357-360, (1995)
- Thati A., Biswas A., and Chowdhury S. R.: Breath acetone-based non-invasive detection of blood glucose levels. International Journal on Smart Sensing and Intelligent Systems, 2 (8), 1244-1260, (2015)
- Deperlioğlu Ö. and Köse, U.: An educational tool for artificial neural networks. Computers & Electrical Engineering. 37 (3), 392-402, (2011)
- Elmas Ç.: Artificial Neural Network – theory, architecture, training, implementation (In Turkish), Ankara, Turkey: Seçkin Press, (2003)
- Karcı A. and Demir M.: Estimation of protein structures by classification of angles between a carbons of amino acids based on artificial neural Networks. Expert Systems with Applications, 36 (1), 5541-5548, (2009)
- Google Trends: https://trends.google.com /trends/explore?q=Arabam.com,Sahibinden.com, Araba.com, arabam.com, tasit.com&geo=TR. (2018). Accessed 12 November 2018
- Bala R. and Kumar D.: Classification Using ANN: A Review. International Journal of Computational Intelligence Research. 13 (7), 1811-1820, (2017)
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Bölüm | Makaleler |
| Yazarlar | |
| Yayımlanma Tarihi | 16 Aralık 2020 |
| Yayımlandığı Sayı | Yıl 2020 Cilt: 6 Sayı: 2 |