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 (1) analysis of networks from the viewpoint of analog computational devices, exploring limitations imposed by resource constraints; (2) questions of parameter identification of recurrent nets; (3) use of feedforward nets for function approximation and interpolation problems; (4) systems theory (observability and other properties) for nets; and (5) 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
ADA292785

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
  • Interpolation
  • Linear Systems
  • Machine Learning
  • Neural Networks
  • Nonlinear Systems
  • Numerical Analysis

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