Boltzmann machine
A Boltzmann machine is a stochastic, recurrent neural network of symmetrically connected binary units that defines an energy function over its configurations and assigns each configuration a probability…
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Connectionism
Connectionism is an approach in cognitive science and artificial intelligence that explains mental phenomena as the collective behavior of large networks of simple, interconnected processing units.
Hopfield Network
A Hopfield network is a form of recurrent neural network that stores information as stable patterns in a system of interconnected binary units and retrieves it by content rather than by address.
John Hopfield
John Joseph Hopfield (born July 15, 1933) is an American physicist whose work spans condensed-matter physics, molecular biology, and the theory of neural computation.
Multilayer Perceptron
A multilayer perceptron (MLP) is a feedforward neural network built from layers of fully connected units: an input layer, one or more hidden layers, and an output layer