Boltzmann Machines and Artificial Intelligence,

reportActive / Technical Report | Accession Number: ADA160644 | Open PDF

Abstract:

Ackley, Hinton and Sejnowski have recently proposed an algorithm, named a Boltzmann Machine, which is capable of learning to recognize the underlying structure in a set of patterns presented to it. The main purposes of this memorandum are to introduce Boltzmann Machines to those who are not familiar with them to outline how Boltzmann Machines may prove useful in the knowledge acquisition problem in artificial intelligence to report some new results for a model problem and to sketch out the relationship between Boltzmann Machines and the spin-glass problem.

Author(s):
Bounds, D. G.
Author Organization(s):
ROYAL SIGNALS AND RADAR ESTABLISHMENT MALVERN (ENGLAND)
Pagination:
0028

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
RSRE-MEMO-3826, DRIC-BR-97007
Monitor Series:
BR-97007
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.2.2_Develop Knowledge and Situational Awareness; JCA_5.2_Understand; JCA_2.2.1_Signals Collection; JCA_2.2_Collection; JCA_1.2.1_Training; JCA_1.2.5_Lessons Learned; JCA_5.5.2_Task; JCA_5.5_Direct; JCA_1.2.7_Experimentation; JCA_5.3_Planning; JCA_1.3.2_Personnel Management; JCA_5.4_Decide
Modernization Areas:
AI and Machine Learning; 5G
Communities of Interest:
Energy and Power Technologies
Descriptor(s):
*ALGORITHMS, *PATTERN RECOGNITION, DATA ACQUISITION, ARTIFICIAL INTELLIGENCE
Field(s)/Group(s):
Theoretical Mathematics
Keyword(s):
*Boltzmann machines, Spin Glass problem
Report Date:
1985 Jun 01