ON THE IDENTIFICATION OF SYSTEMS AND THE UNSCRAMBLING OF DATA: SOME PROBLEMS SUGGESTED BY NEUROPHYSIOLOGY,

Abstract

It is shown that mathematical techniques of quasilinearization and dynamic programming may be applied to the problem of determining the structure of a system with partially known inputs and partially observable outputs. In particular, this method may have important implications concerning research on the structure of the human nervous system. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1964
Accession Number
AD0607461

Entities

People

  • Brian Gluss
  • R A Roth
  • Richard E. Bellman

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Anatomy
  • Biological Sciences
  • Brain
  • Central Nervous System
  • Computer Programming
  • Dynamic Programming
  • Identification
  • Interdisciplinary Science
  • Nervous System
  • Neurology
  • Neurophysiology
  • Neurosciences

Readers

  • Approximation Theory.
  • Calculus or Mathematical Analysis
  • Systems Analysis and Design