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

Topological analysis of infinite learning automata I: classification of neural network behavior

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)

The authors have been developing a theory of learning automata that is applicable to studying goal-seeking systems of many types. The stepwise convergence of such systems to a goal state can be mapped into the training sequences of an appropriate learning automaton. This theory has been expanded to include infinite sets of states. The learning automaton may have an infinite characteristic semigroup of state transitions. The algebraic properties of the automaton are determined by this semigroup. A topology is introduced into the characteristic semigroup, S'. The latter can be considered as a function space of transformations of S. Behavior characteristics of the learning automaton be defined rigorously. In special cases, they can be related to the topological properties of S' and S, such as continuity of the transition function, separation properties and compactness

Published in:

Neural Networks, 1990., 1990 IJCNN International Joint Conference on

Date of Conference:

17-21 June 1990

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.