DocumentCode
3308971
Title
Classification of Consumer Behavior Using Functional Link Artificial Neural Network
Author
Majhi, Ritanjali ; Panda, Bijayalaxmi ; Pandu, Sunayana ; Majhi, Babita ; Panda, Ganapati
Author_Institution
Sch. of Manage., Nat. Inst. of Technol., Warangal, India
fYear
2010
fDate
20-21 June 2010
Firstpage
323
Lastpage
325
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.
Keywords
Artificial neural networks; Computer networks; Computer science; Computer science education; Consumer behavior; Consumer electronics; Demography; Educational technology; Internet; Technology management; Consumer Classification; Discriminant Analysis; Factor Analysis; Functional link artificial neural network; Online Shopping;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computer Engineering (ACE), 2010 International Conference on
Conference_Location
Bangalore, Karnataka, India
Print_ISBN
978-1-4244-7154-6
Type
conf
DOI
10.1109/ACE.2010.68
Filename
5532811
Link To Document