Home // ADVCOMP 2010, The Fourth International Conference on Advanced Engineering Computing and Applications in Sciences // View article
Authors:
Ritanjali Majhi
Bijayalaxmi Panda
Babita Majhi
Rahul Tej
Ganapati Panda
Keywords: Single layer nonlinear ANN (SNANN); Consumer Classification; Online Shopping; Factor Analysis; Discriminant Analysis and Particle swarm optimization(PSO) based training
Abstract:
In this paper an in depth study is made on identifying primary factors on which the Indian online shoppers are influenced. Based on the dominating factors extracted from the internet shoppers’ replies they are clustered. A novel and efficient single layer nonlinear ANN model with PSO based weight adaptation (SNANNP) is developed by taking the demographic input of the shopper and clustering results as the desired class. Close observation of experimental results indicate that the proposed method exhibits superior classification performance compared to that obtained by discriminant analysis and conventional single layer ANN (SNANN) model.
Pages: 118 to 123
Copyright: Copyright (c) IARIA, 2010
Publication date: October 25, 2010
Published in: conference
ISSN: 2308-4499
ISBN: 978-1-61208-101-4
Location: Florence, Italy
Dates: from October 25, 2010 to October 30, 2010