Abstract
SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.
Abstract
Since Gaussian distribution may be employed as a universal approximator, it is clear that most modelling and optimisation problems could be solved by probabilitybased ANN systems. For this reason, chapter 9 concentrate on probability-based ANN systems. The first section introduces the random number generator, which has application in Markov-Chain and its hybrid, in subsequent sections. The fifth section describes the Restricted Boltzmann Machine (RBM) in detail. The Boltzmann machine may be a component network of Deep Belief Networks (DBN), which is described in the last section. The chapter has explained many algorithms related to DBN with great intuition, as this may facilitate better understanding and therefore implementation.
Keywords:
Annealed Importance Sampling (AIS), Boltzmann machine, Contrastive divergence, Detailed balance, Distribution, Dynamic architecture, Energy function, Ergodic, Gibbs, Hamiltonian, Markov chain, Metropolis-Hasting criteria, Molecular dynamics, Momentum heat-bath, Partition function, Pseudorandom number, Random number, Sampling, Stationary distribution, Timereversible, Verlet integrator.
Recommended Chapters
We recommend
Authors:Bentham Science Books