Machine Learning and Statistics: A Study for assessing innovative Demand Forecasting Models
نویسندگان
چکیده
منابع مشابه
Machine Learning Models for Housing Prices Forecasting using Registration Data
This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...
متن کاملApplication of machine learning techniques for supply chain demand forecasting
Full collaboration in supply chains is an ideal that the participant firms should try to achieve. However, a number of factors hamper real progress in this direction. Therefore, there is a need for forecasting demand by the participants in the absence of full information about other participants’ demand. In this paper we investigate the applicability of advanced machine learning techniques, inc...
متن کاملDeveloping tourism demand forecasting models using machine learning techniques with trend, seasonal, and cyclic components
This paper proposes the deterministic generation of auxiliary variables, which outline the seasonal, cyclic and trend components of the time series associated with tourism demand for the machine learning models. To test the contribution of the deterministically generated auxiliary variables, we have employed multilayer perceptron (MLP) regression, and support vector regression (SVR) models, whi...
متن کاملForecasting Models for Correlated Demand
Demand forecasting is a crucial component of revenue management, as forecasts are almost always inputs into optimization routines for pricing decisions. The performance of many revenue management systems often depends critically on the quality of demand forecasts. Indeed, industry estimates suggest that a 20% reduction of forecast error may lead to 1% incremental increase in revenue (Talluri an...
متن کاملa study on thermodynamic models for simulation of 1,3 butadiene purification columns
attempts have been made to study the thermodynamic behavior of 1,3 butadiene purification columns with the aim of retrofitting those columns to more energy efficient separation schemes. 1,3 butadiene is purified in two columns in series through being separated from methyl acetylene and 1,2 butadiene in the first and second column respectively. comparisons have been made among different therm...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2021
ISSN: 1877-0509
DOI: 10.1016/j.procs.2021.01.127