The Prediction of Car Ownership with Machine Learning Approaches
624,00 TL
Development in the range of vehicles has become a notable characteristic of modern towns, as the accumulation of individual wealth and Devamını oku
Tek kitap kargo ücreti: 129.00 TL (KDV dahil)
2 ve daha fazla kitap: 139,00 TL (KDV dahil)
Satıcı aracılığıyla gönderilir
Güvenli işlem
Ürün Özellikleri
Açıklama
Development in the range of vehicles has become a notable characteristic of modern towns, as the accumulation of individual wealth and the requirements for transport significantly motivate the ownership and utilization of vehicles. These developments have encouraged researchers to study in this field. Although several methods associated with car ownership forecasting have been described till now, there is a lack of hybrid methods for this topic. Therefore, the unique characteristic of this research lies in the integration of the Genetic Algorithm (GA) model with the Artificial Neural Network (ANN) as a hybrid ANN-GA. The Grey Model (GM) was also utilized to forecast independent variables from 2021 until 2040. Then, forecasting car ownership based on the best-developed network was conducted. In this regard, large-scale actual data from 1970-2020 was gathered, including population, GDP per
86 sayfa. 1x1 cm.
Mağaza Yorumları