Accession Number:

ADA343441

Title:

Mathematical Theory of Neural Networks

Descriptive Note:

Final technical report 1 Jul 94-30 June 97.

Corporate Author:

RUTGERS - THE STATE UNIV NEW BRUNSWICKNJ

Personal Author(s):

Report Date:

1997-08-01

Pagination or Media Count:

46.0

Abstract:

This report focuses on fundamental theoretical issues relevant to the capabilities, performance, and limitations of artificial neural networks. For static feedforward networks, subjects of investigation included the study of error surfaces for least squares fitting, VC and other learning dimensions, representability questions. and function approximation. For dynamic recurrent nets, covered are questions dealing with parameter identification and modeling, realizability and other systems theoretic issues, theoretical computational capabilities, and learning-theoretic issues.

Subject Categories:

  • Numerical Mathematics
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE