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
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;
Conference_Titel :
Advances in Computer Engineering (ACE), 2010 International Conference on
Conference_Location :
Bangalore, Karnataka, India
Print_ISBN :
978-1-4244-7154-6
DOI :
10.1109/ACE.2010.68