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

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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

Author(s):
Bellman, Richard ; Gluss, Brian ; Roth, Robert
Author Organization(s):
RAND CORP SANTA MONICA CALIF
Annotation:
On the identification of systems and the unscrambling of data: Some problems suggested by neurophysiology.
Pagination:
0011

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
RM-4266-PR
Contract/Grant Number(s):
AF49 638 700
 Subject Terms
Communities of Interest:
No COI(s) Identified
Descriptor(s):
(*NERVOUS SYSTEM, DYNAMIC PROGRAMMING), (*DYNAMIC PROGRAMMING, NERVOUS SYSTEM), MATHEMATICS, DIFFERENTIAL EQUATIONS, INPUT OUTPUT DEVICES, PHYSIOLOGY
Keyword(s):
QUASILINEARIZATION
Report Date:
1964 Oct 01