Boltzman Machine MCQ

Test your knowledge with important Boltzman Machine MCQ and their applications. These MCQs are beneficial for competitive exams too. Explore 30 + more Boltzman Machine MCQs at Bissoy

• Boltzman learning is a?
  ক

  fast process

  খ

  steady process

  গ

  slow process

  ঘ

  none of the mentioned
• In boltzman learning which algorithm can be used to arrive at equilibrium?
  ক

  hopfield

  খ

  mean field

  গ

  hebb

  ঘ

  none of the mentioned
• 8.False minima can be reduced by deterministic updates?
  ক

  yes

  খ

  no
• Approximately how much times the boltzman learning get speeded up using mean field approximation?
  ক

  5-10

  খ

  10-30

  গ

  30-50

  ঘ

  50-70
• What happens when we use mean field approximation with boltzman learning?
  ক

  it slows down

  খ

  it get speeded up

  গ

  nothing happens

  ঘ

  may speedup or speed down
• For practical implementation what type of approximation is used on boltzman law?
  ক

  max field approximation

  খ

  min field approximation

  গ

  hopfield approximation

  ঘ

  none of the mentioned
• Is Boltzman law practical for implementation?
  ক

  yes

  খ

  no
• How is effect false minima reduced
  ক

  deterministic update of weights

  খ

  stochastic update of weights

  গ

  deterministic or stochastic update of weights

  ঘ

  none of the mentioned
• Presence of false minima will have what effect on probability of error in recall?
  ক

  directly

  খ

  inversely

  গ

  no effect

  ঘ

  directly or inversely
• For what purpose Feedback neural networks are primarily used?
  ক

  classification

  খ

  feature mapping

  গ

  pattern mapping

  ঘ

  none of the mentioned
• What may be the reasons for non zero probability of error in recalling?
  ক

  spurious stable states

  খ

  approximation in pattern environment representation

  গ

  extra stable states

  ঘ

  all of the mentioned
• Is exact representation of pattern environment possible?
  ক

  yes

  খ

  no
• How are energy minima related to probability of occurrence of corresponding patterns in the environment?
  ক

  directly

  খ

  inversely

  গ

  directly or inversely

  ঘ

  no relation
• For which other task can boltzman machine be used?
  ক

  pattern mapping

  খ

  feature mapping

  গ

  classification

  ঘ

  pattern association
• By using which method, boltzman machine reduces effect of additional stable states?
  ক

  no such method exist

  খ

  simulated annealing

  গ

  hopfield reduction

  ঘ

  none of the mentioned
• What consist of boltzman machine?
  ক

  fully connected network with both hidden and visible units

  খ

  asynchronous operation

  গ

  stochastic update

  ঘ

  all of the mentioned
• What should be the aim of training procedure in boltzman machine of feedback networks?
  ক

  to capture inputs

  খ

  to feedback the captured outputs

  গ

  to capture the behaviour of system

  ঘ

  none of the mentioned
• For what purpose is pattern environment useful?
  ক

  determining structure

  খ

  determining desired outputs

  গ

  determining future inputs

  ঘ

  none of the mentioned
• What is pattern environment?
  ক

  probability of desired patterns

  খ

  probability of given patterns

  গ

  behaviour of system

  ঘ

  none of the mentioned
• Probability of error in recall of stored patterns can be reduced if?
  ক

  patterns are stored appropriately

  খ

  inputs are captured appropriately

  গ

  weights are chosen appropriately

  ঘ

  none of the mentioned