For what purpose Feedback neural networks are primarily used?

Presence of false minima will have what effect on probability of error in recall?

How is effect false minima reduced

Is Boltzman law practical for implementation?

For practical implementation what type of approximation is used on boltzman law?

What happens when we use mean field approximation with boltzman learning?

Approximately how much times the boltzman learning get speeded up using mean field approximation?

False minima can be reduced by deterministic updates?

In boltzman learning which algorithm can be used to arrive at equilibrium?

Boltzman learning is a?