Stochastic Networks

Question 1
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Can networks with symmetric weight reach thermal equilibrium?
yes
no
Explanation:
Networks with symmetric weight reach thermal equilibrium at a given temperature.
Question 2
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When activation value is determined by using the average of fluctuations of outputs from other units, it is known as?
maximum field approximation
median field approximation
minimum field approximation
none of the mentioned
Explanation:
It is known as mean field approximation.
Question 3
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In case of deterministic update, what kind of equilibrium is reached?
static
dynamic
neutral
none of the mentioned
Explanation:
In case of deterministic update, static equilibrium is reached.
Question 4
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Where does a stochastic network exhibits stable states ?
at any temperature
above critical temperature
at critical temperature
below critical temperature
Explanation:
Stochastic network exhibits stable states below critical temperature.
Question 5
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p(s=1|x) = 1/(1+exp(-x/T))) ,where ‘s’ is the output given the activation ‘x’ is a?
hopfield network
sigma network
stochastic network
none of the mentioned
Explanation:
This is the basic equation of a stochastic network.
Question 6
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In case of stochastic update, can static equilibrium be reached?
yes
no
Explanation:
There will never be a static equilibrium in stochastic network.
Question 7
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What can be the possible reason for thermal equilibrium in stochastic networks?
probability distribution of states changes and compensates
probability distribution change with only update
probability distribution does not change with time
none of the mentionedstochastic network exhibits stable states
Explanation:
Probability distribution does not change with time is the only reason for thermal equilibrium in stochastic networks.
Question 8
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In case of stochastic update, what kind of equilibrium is reached?
static
dynamic
neutral
equilibrium not possible
Explanation:
In case of stochastic update, dynamic equilibrium is reached.
Question 9
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Is it possible in stochastic network that average state of network doesn’t change with time?
yes
no
Explanation:
Dynamic equilibrium is possible in stochastic network.
Question 10
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Does a stochastic network will evolve differently each time it is run?
yes
no
Explanation:
As trajectory of the state of the network becomes a sample function of a random process.