Skip to Main content Skip to Navigation
Conference papers

Employing Constrained Neural Networks for Forecasting New Product’s Sales Increase

Abstract : An intelligent sales forecasting system is considered a rather significant objective in the food industry, since a reasonably accurate prediction has the possibility of gaining significant profits and better stock management. Many food companies and restaurants strongly rely on their previous data history for predicting future trends in their business operations and strategies. Undoubtedly, the area of retail food analysis has been dramatically changed from a rather qualitative science based on subjective or judgemental assessments to a more quantitative science which is also based on knowledge extraction from databases. In this work, we evaluate the performance of weight-constrained neural networks for forecasting new product’s sales increase. These new prediction models are characterized by the application of conditions on the weights of the network in the form of box-constraints, during the training process. The preliminary numerical experiments demonstrate the classification efficiency of weight-constrained neural networks in terms of accuracy, compared to state-of-the-art machine learning prediction models.
Document type :
Conference papers
Complete list of metadata

Cited literature [25 references]  Display  Hide  Download
Contributor : Hal Ifip <>
Submitted on : Thursday, November 14, 2019 - 3:50:47 PM
Last modification on : Thursday, November 14, 2019 - 3:56:04 PM
Long-term archiving on: : Saturday, February 15, 2020 - 3:41:46 PM


 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-01-01

Please log in to resquest access to the document


Distributed under a Creative Commons Attribution 4.0 International License



Ioannis Livieris, Niki Kiriakidou, Andreas Kanavos, Gerasimos Vonitsanos, Vassilis Tampakas. Employing Constrained Neural Networks for Forecasting New Product’s Sales Increase. 15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2019, Hersonissos, Greece. pp.161-172, ⟨10.1007/978-3-030-19909-8_14⟩. ⟨hal-02363848⟩



Record views