DocumentCode
622112
Title
Boltzmann machine and reverse analysis method
Author
Sathasivam, Saratha ; Ng Pei Fen ; Velavan, Muraly
Author_Institution
Sch. of Math. Sci., Univ. Sains Malaysia, Minden, Malaysia
fYear
2013
fDate
3-4 June 2013
Firstpage
52
Lastpage
56
Abstract
Boltzmann machine are examined for its ability to accelerate the performance of doing data mining by using technique named as Reverse Analysis method. In this paper, we describe how Hopfield network perform better with Boltzmann machine technique and able to induce logical rules from large database by using reverse analysis method: given the values of the connections of a network, we can hope to know what logical rules are entrenched in the database.
Keywords
Boltzmann machines; Hopfield neural nets; data mining; Boltzmann machine; Hopfield network; data mining; logical rules; reverse analysis method; Conferences; Data mining; Hopfield neural networks; Neurons; Optimization; Power engineering; Boltzmann machine; Hopfield network; Reverse Analysis; data mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
Conference_Location
Langkawi
Print_ISBN
978-1-4673-5072-3
Type
conf
DOI
10.1109/PEOCO.2013.6564514
Filename
6564514
Link To Document