By Topic

An information retrieval system based on automatic query expansion and Hopfield network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Xiaowei Sheng ; Dept. of Chinese Language, Tsinghua Univ., Beijing, China ; Minghu Jiang

Automatic query expansion technique has been extensively used in a variety of information retrieval (IR) systems as a means of solving the problems of information overload and word mismatch. Based on the technique and Hopfield network, we propose a new IR model, called LCA-ANN model. With the heuristic function of Hopfield network, the new model is more precise in query expansion compared with other current models and can therefore enhance the performance greatly.

Published in:

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on  (Volume:2 )

Date of Conference:

14-17 Dec. 2003