Learning State Space Trajectories in Recurrent Neural Networks: A preliminary Report

Abstract

We describe a procedure for finding learning state space trajectories in recurrent neural networks. Keywords: Connectionism; Learning algorithm; Trajectories following; Minimizing functionals.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 24, 1988
Accession Number
ADA219114

Entities

People

  • Barak A. Pearlmutter

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • C4I

DTIC Thesaurus Topics

  • Applied Computer Science
  • Artificial Intelligence
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Automata Theory
  • Computer Science
  • Computers
  • Difference Equations
  • Differential Equations
  • Equations
  • Military Research
  • Neural Networks
  • Recurrent Neural Networks
  • Security
  • Simulations
  • United States
  • Universities

Readers

  • Neural Network Machine Learning.
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks
  • Space
  • Space - Spacecraft Maneuvers