A novel decision fusion approach for sale price prediction using Elastic Net and MOPSO

arXiv:2403.20033v1 Announce Type: cross
Abstract: Price prediction algorithms propose prices for every product or service according to market trends, projected demand, and other characteristics, including government rules, international transactions, and speculation and expectation. As the dependent variable in price prediction, it is affected by several independent and correlated variables which may challenge the price prediction. To overcome this challenge, machine learning algorithms allow more accurate price prediction without explicitly modeling the relatedness between variables. However, as inputs increase, it challenges …

abstract algorithms arxiv cs.lg cs.ne decision demand elastic every fusion government independent international market novel prediction price product rules sale service speculation stat.ml transactions trends type