Cart (Loading....) | Create Account
Close category search window
 

On the small sample behavior of the class-sensitive neural 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)
Chen, C.H. ; Dept. of Electr. & Comput. Eng., Massachusetts Univ., North Dartmouth, MA, USA ; Jozwik, A.

The behavior of a neural network when the number of training samples is small is examined by using a large remote-sensing database. The paper also presents a new way to reduce the size of the training set without significantly decreasing the classification quality. The effectiveness of the proposed algorithm is examined on the class-sensitive neural network (CSNN) which is known to have a superior classification accuracy over the standard backpropagation trained neural network. It is shown that with a combination of the sample set condensation algorithm and the CSNN, the classification performance degrades only slightly even when the number of training samples is quite small

Published in:

Pattern Recognition, 1996., Proceedings of the 13th International Conference on  (Volume:4 )

Date of Conference:

25-29 Aug 1996

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.