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
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;
Conference_Titel :
Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
Conference_Location :
Langkawi
Print_ISBN :
978-1-4673-5072-3
DOI :
10.1109/PEOCO.2013.6564514