A Boltzmann Machine
A type of artificial neural network consisting of a collection of symmetrically connected binary neurons organized into two layers: a visible layer and a hidden layer, with connections between them associated with weights or parameters that determine the strength and direction of their interactions, and each neuron also associated with a bias or threshold value that influences its propensity to fire or remain inactive.
Areas of application
- Machine learning
- Natural language processing
- Speech recognition
- Image recognition
- Recommendation systems
- Predictive modeling
Example
A Boltzmann machine could be used to model the behavior of a simple physical system, such as the movement of particles in a gas. By adjusting the weights and biases of the neurons in the visible and hidden layers, the Boltzmann machine can learn to predict the most likely state of the system based on the inputs it receives.