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

Applicability of Neural Network Techniques to Underwater Naval Tactics

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)
Petres, C.L. ; NATO Undersea Res. Center, La Spezia ; Grignan, P.P.

In this paper several key issues in supervised learning using artificial neural networks are addressed within an ASW barrier operation framework. Training data distribution, input space representation, parameters variations, signal excess fluctuations and agents behaviors have a great influence on the neural network controlled submarine performance and tactics. A qualitative sensitivity analysis of all these factors is carried out using a simulated battlefield. The ultimate goal of this study is to assess the capabilities and the limitations of neural network controlled intelligent agents for solving more general problems.

Published in:

OCEANS 2007 - Europe

Date of Conference:

18-21 June 2007

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.