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  2. Restricted Boltzmann machine - Wikipedia

    en.wikipedia.org/wiki/Restricted_Boltzmann_machine

    Diagram of a restricted Boltzmann machine with three visible units and four hidden units (no bias units) A restricted Boltzmann machine (RBM) (also called a restricted Sherrington–Kirkpatrick model with external field or restricted stochastic Ising–Lenz–Little model) is a generative stochastic artificial neural network that can learn a probability distribution over its set of inputs.

  3. Boltzmann machine - Wikipedia

    en.wikipedia.org/wiki/Boltzmann_machine

    In this example there are 3 hidden units (blue) and 4 visible units (white). This is not a restricted Boltzmann machine. A Boltzmann machine, like a Sherrington–Kirkpatrick model, is a network of units with a total "energy" (Hamiltonian) defined for the overall network. Its units produce binary results.

  4. OpenLB - Wikipedia

    en.wikipedia.org/wiki/OpenLB

    The code is written in C++ and is used by application programmers as well as developers, with the ability to implement custom models [3] OpenLB supports complex data structures that allow simulations in complex geometries and parallel execution using MPI, OpenMP and CUDA on high-performance computers.

  5. List of cosmological computation software - Wikipedia

    en.wikipedia.org/wiki/List_of_cosmological...

    This List of Cosmological Computation Software catalogs the tools and programs used by scientists in cosmological research.. In the past few decades, the accelerating technological evolution has profoundly enhanced astronomical instrumentation, enabling more precise observations and expanding the breadth and depth of data collection by several orders of magnitude.

  6. Talk:Restricted Boltzmann machine - Wikipedia

    en.wikipedia.org/wiki/Talk:Restricted_Boltzmann...

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  7. Lattice Boltzmann methods for solids - Wikipedia

    en.wikipedia.org/wiki/Lattice_Boltzmann_methods...

    The Lattice Boltzmann methods for solids (LBMS) are a set of methods for solving partial differential equations (PDE) in solid mechanics. The methods use a discretization of the Boltzmann equation(BM), and their use is known as the lattice Boltzmann methods for solids. LBMS methods are categorized by their reliance on: Vectorial distributions [1]

  8. Quantum machine learning - Wikipedia

    en.wikipedia.org/wiki/Quantum_machine_learning

    This can reduce the time required to train a deep restricted Boltzmann machine, and provide a richer and more comprehensive framework for deep learning than classical computing. [69] The same quantum methods also permit efficient training of full Boltzmann machines and multi-layer, fully connected models and do not have well-known classical ...

  9. Boltzmann equation - Wikipedia

    en.wikipedia.org/wiki/Boltzmann_equation

    The Boltzmann equation can be used to derive the fluid dynamic conservation laws for mass, charge, momentum, and energy. [ 8 ] : 163 For a fluid consisting of only one kind of particle, the number density n is given by n = ∫ f d 3 p . {\displaystyle n=\int f\,d^{3}\mathbf {p} .}