conventional Model-based Data Processing Methods Are Computationally Expensive And Require Expertsβ Knowledge For The Modelling Of A System; Neural Networks Provide A Model-free, Adaptive, Parallel-processing Solution. Neural Networks In A Softcomputing Framework Presents A Thorough Review Of The Mo
β¦ LIBER β¦
On the equivalence of Hopfield networks and Boltzmann Machines
β Scribed by Adriano Barra; Alberto Bernacchia; Enrica Santucci; Pierluigi Contucci
- Book ID
- 116774398
- Publisher
- Elsevier Science
- Year
- 2012
- Tongue
- English
- Weight
- 698 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
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lt is known that any given probability distribution ~?f the states of the observable units of a Boltzmann machine can be realized f no limit is imposed on the number of hidden units. But veo, little is known about the number of hidden units necessao, for such realization. We consider Boltzmann machi