Abstract
We discuss the main results obtained in a study of a mathematical model of synchronously parallel Boltzmann machines. We present supporting evidence for the conjecture that a synchronously parallel Boltzmann machine maximizes a consensus function that consists of a weighted sum of the regular consensus function and a pseudo consensus function. The weighting is determined by the fraction of units that can change their states simultaneously.
Original language | English |
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Title of host publication | Parallel Processing in Neural Systems and Computers |
Place of Publication | Amsterdam |
Publisher | Elsevier |
Pages | 277-280 |
Number of pages | 4 |
ISBN (Print) | 0-444-88390-8 |
Publication status | Published - 1990 |
Externally published | Yes |