Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1499
Title: Classification of Consumer Behavior using Functional Link Artificial Neural Network
Authors: Majhi, Ritanjali
Panda, Bijayalaxmi
Pandu, Sunayana
Majhi, Babita
Panda, Ganapati
Keywords: Consumer Classification
Online Shopping
Issue Date: 2010
Publisher: ACE 2010 - 2010 International Conference on Advances in Computer Engineering
Citation: 10.1109/ACE.2010.68
Abstract: The rapid development of internet usage has paved the way towards the use of online shopping. In this paper an investigation has been made on the behavior of Indian consumers towards online shopping using Functional link artificial neural network (FLANN) and the result is compared with that obtained from the conventional statistical based approach, discriminant analysis. The simulation study reveals that the FLANN based model provides improved classification of consumers compared to the conventional statistical based approach.
Description: NITW
URI: http://localhost:8080/xmlui/handle/123456789/1499
Appears in Collections:School of Management

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