Mathematical Theory of Neural Networks

Abstract

This report provides a summary of the grant work by the principal investigators in the area of neural networks. The topics covered deal with: analysis of networks from the viewpoint of analog computational devices, exploring limitations imposed by resource constraints; questions of parameter identification of recurrent nets; use of feedforward nets for function approximation and interpolation problems; systems theory (observability and other properties) for nets; and the use of neural networks for the control of nonlinear systems.

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Document Details

Document Type
Technical Report
Publication Date
Aug 31, 1994
Accession Number
ADA286508

Entities

People

  • Eduardo D. Sontag
  • Hector J. Sussmann

Organizations

  • Rutgers University–New Brunswick

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Automata
  • Automata Theory
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Computers
  • Control Systems
  • Differential Equations
  • Dimensionality Reduction
  • Linear Systems
  • Neural Networks
  • Nonlinear Dynamics
  • Nonlinear Systems
  • Recurrent Neural Networks
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Neural Network Machine Learning.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks