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

Abstract

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.