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

Applying fuzzy clustering to diagnose and modify neural network models in financial engineering

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

1 Author(s)
O'Rourke, B. ; NOW Software, New York, NY, USA

The paper illustrates the application of fuzzy clustering to interpret the performance of a neural network model making price predictions. The goal is to identify what particular combinations of input variables lead to correct predictions by the model and which do not. This knowledge may be used to alter financial trading actions based on model predictions by conditioning those decisions on the current state of input variables. Alternatively, these results may be used to direct changes to the fundamental architecture of the original neural network model. Fuzzy c-means (FCM) clustering is shown to successfully provide this knowledge

Published in:

Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American

Date of Conference:

Jul 1999

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.