By Topic

State-of-the-Art Of Artificial Neural Networks And Applications To Mars Robots

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)
Hong, R. ; SUNY at Stony Brook

This is a broad examination of the state-of-the-art of artificial neural networks (ANN) and with applications of neurocontrol to Mars Robots. The emphasis is on the minimization of the number of iterations required to achieve convergence and the more biologically motivated paradigms. The three major perspectives covered are the development of neural network implementations of any variety or technology, the development of new neural network theory and paradigms and the development of practical, marketable applications of neural networks and their influence in the marketplace, Even the impact of technical advances in neuroscience, implementation with high Tc superconductivity, a hybrid approach with artificial intelligence, is covered. Besides benefits in its applications to space robots, artificial neural networks hold considerable promise of solving some of the challenging problems for the National Aerospace Plane.

Published in:

Electro International, 1991

Date of Conference:

16-18 April 1991