The detailed balance condition is a necessary condition for the Markov-Chain Monte-Carlo algorithm to converge.
False
The stochastic update rule for the Hopfield network is different from the Metropolis algorithm.
True
Not all local minima of the energy function of the Hopfield network correspond to stored patterns.
True
In the limit of N→∞ the order parameter m_μ can have more than one component of order unity, the other components are small.
True
One feeds a distorted pattern into the network by applying Hebbs rule.
False
In the limit of α→0 the one-step error probability for mixed states in the deterministic Hopfield network vanishes.
True