On applying Neuro - Computing in E-com Domain

Autor:	Perwej, Asif
Rok vydání:	2012
Předmět:	Computer Science - Neural and Evolutionary Computing
Zdroj:	International Journal of Arts Commerce & Management(IJACM),November 2011, Volume 01, Number 01, Pages 1-5
Druh dokumentu:	Working Paper
Popis:	Prior studies have generally suggested that Artificial Neural Networks (ANNs) are superior to conventional statistical models in predicting consumer buying behavior. There are, however, contradicting findings which raise question over usefulness of ANNs. This paper discusses development of three neural networks for modeling consumer e-commerce behavior and compares the findings to equivalent logistic regression models. The results showed that ANNs predict e-commerce adoption slightly more accurately than logistic models but this is hardly justifiable given the added complexity. Further, ANNs seem to be highly adaptive, particularly when a small sample is coupled with a large number of nodes in hidden layers which, in turn, limits the neural networks' generalisability. Comment: 5 Pages, 1 Figure, ISSN No. 2250 - 2297
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1206.1443 Zobrazit plný text záznamu View this record from Arxiv