In the 20th century, 4th Industrial revolution came true when the technological developments and applying these technologies were used in Industry. The machines began to share the information about their product and services in real time in production with the system, which is called Industry 4.0. The artificial intelligence develops which is the one of the most major developments of 20th century. In this study, the first three months sales of 2017 are tried to be predicted with neural fuzzy logic method which is the sub discipline of the artificial intelligence by using as data which are taken from the monthly sales of domestic and imported automobiles, the monthly sales of domestic and imported light commercial vehicles, monthly producer ...
Sales of four-wheeled vehicles in the domestic market at the beginning of 2021 experienced a decline...
In today's competitive global economy, businesses must adjust themselves constantly to ever-changing...
This paper aims to predict stock prices using open, high, low, close variables using artificial neur...
Sales forecasting is important for facilitating effective and efficient allocation of scarce resourc...
The objective of this research is to obtain an accurate forecasting model for the demand for automob...
[[abstract]]An expert system for used cars price forecasting using adaptive neuro-fuzzy inference sy...
Sales forecasting is important for facilitating effective and efficient allocation of scarce resourc...
The financial industry has been becoming more and more dependent on advanced computing technologies ...
The financial industry has been becoming more and more dependent on advanced computing technologies ...
Summarization: This article presents the application of neuro-fuzzy techniques in forecasting a new ...
Various methods have been used previously to estimate housing sales prices to model the underlying n...
In this paper, machine learning (ML) strategies have been utilized in predicting vehicles’ prices an...
Economic development could be presented by gross domestic product to show how different factors affe...
In this paper, forecasting sales model for truck components using machine learning algorithms is pro...
Context: The context of this research is to forecast the sales of truck componentsusing machine lear...
Sales of four-wheeled vehicles in the domestic market at the beginning of 2021 experienced a decline...
In today's competitive global economy, businesses must adjust themselves constantly to ever-changing...
This paper aims to predict stock prices using open, high, low, close variables using artificial neur...
Sales forecasting is important for facilitating effective and efficient allocation of scarce resourc...
The objective of this research is to obtain an accurate forecasting model for the demand for automob...
[[abstract]]An expert system for used cars price forecasting using adaptive neuro-fuzzy inference sy...
Sales forecasting is important for facilitating effective and efficient allocation of scarce resourc...
The financial industry has been becoming more and more dependent on advanced computing technologies ...
The financial industry has been becoming more and more dependent on advanced computing technologies ...
Summarization: This article presents the application of neuro-fuzzy techniques in forecasting a new ...
Various methods have been used previously to estimate housing sales prices to model the underlying n...
In this paper, machine learning (ML) strategies have been utilized in predicting vehicles’ prices an...
Economic development could be presented by gross domestic product to show how different factors affe...
In this paper, forecasting sales model for truck components using machine learning algorithms is pro...
Context: The context of this research is to forecast the sales of truck componentsusing machine lear...
Sales of four-wheeled vehicles in the domestic market at the beginning of 2021 experienced a decline...
In today's competitive global economy, businesses must adjust themselves constantly to ever-changing...
This paper aims to predict stock prices using open, high, low, close variables using artificial neur...