Skip to Main content Skip to Navigation
Conference papers

Enhancing Growth Curve Approach Using CGPANN for Predicting the Sustainability of New Food Products

Abstract : An enhancement to the growth curve approach based on neuro evolution is proposed to develop various forecasting models to investigate the state and worth of the producer, to market a new product. The forecasting model is obtained using a newly introduced neuro evolutionary approach called Cartesian Genetic Programming based ANN (CGPANN). CGPANN helps in obtaining an optimum model for all the necessary parameters of an ANN. An accurate and computationally efficient model is obtained, achieving an accuracy as high as 93.37% on the time devised terrains, providing a general mechanism for forecasting models in mathematical agreement to its application in econometrics. Comparison with other contemporary model evidences the perfection of the proposed model thus its vital power in developing the growth curve approach for predicting the sustainability of new products.
Document type :
Conference papers
Complete list of metadata

Cited literature [18 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Thursday, November 3, 2016 - 10:59:23 AM
Last modification on : Tuesday, February 9, 2021 - 4:34:02 PM
Long-term archiving on: : Saturday, February 4, 2017 - 1:05:20 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Jawad Ali, Gul Muhammad Khan, Sahibzada Ali Mahmud. Enhancing Growth Curve Approach Using CGPANN for Predicting the Sustainability of New Food Products. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. pp.286-297, ⟨10.1007/978-3-662-44654-6_28⟩. ⟨hal-01391325⟩



Record views


Files downloads