Pattern Association MCQ

Test your knowledge with important Pattern Association MCQ and their applications. These MCQs are beneficial for competitive exams too. Explore 30+ more Pattern Association MCQs on Bissoy. Bissoy App

• What is the feature that doesn’t belongs to pattern mapping in feeddorward neural networks?
  ক

  recall is direct

  খ

  delta rule learning

  গ

  non linear processing units

  ঘ

  two layers
• What is the feature that doesn’t belongs to pattern classification in feeddorward neural networks?
  ক

  recall is direct

  খ

  delta rule learning

  গ

  non linear processing units

  ঘ

  two layers
• Does pattern association involves non linear units in feedforward neural network?
  ক

  yes

  খ

  no
• What is Interpolative behaviour?
  ক

  not a type of pattern clustering task

  খ

  for small noise variations pattern lying closet to the desired pattern is recalled.

  গ

  for small noise variations noisy pattern having parameter adjusted according to noise variation is recalled

  ঘ

  none of the mentioned
• What is accretive behaviour?
  ক

  not a type of pattern clustering task

  খ

  for small noise variations pattern lying closet to the desired pattern is recalled.

  গ

  for small noise variations noisy pattern having parameter adjusted according to noise variation is recalled

  ঘ

  none of the mentioned
• Generalization feature of a multilayer feedforward network depends on factors?
  ক

  architectural details

  খ

  learning rate parameter

  গ

  training samples

  ঘ

  all of the mentioned
• The hard learning problem is ultimately solved by hoff’s algorithm?
  ক

  yes

  খ

  no
• In order to overcome constraint of linearly separablity concept of multilayer feedforward net is proposed?
  ক

  yes

  খ

  no
• What are hard problems?
  ক

  classification problems which are not clearly separable

  খ

  classification problems which are not associatively separable

  গ

  classification problems which are not functionally separable

  ঘ

  none of the mentioned
• In case of pattern by feedback nets in pattern recognition task, what is the behaviour expected?
  ক

  accretive

  খ

  interpolative

  গ

  can be either accretive or interpolative

  ঘ

  none of the mentioned
• In case of autoassociation by feedback nets in pattern recognition task, what is the behaviour expected?
  ক

  accretive

  খ

  interpolative

  গ

  can be either accretive or interpolative

  ঘ

  none of the mentioned
• The network for pattern mapping is expected to perform?
  ক

  pattern storage

  খ

  pattern classification

  গ

  genaralization

  ঘ

  none of the mentioned
• If some of output patterns in pattern association problem are identical then problem shifts to?
  ক

  pattern storage problem

  খ

  pattern classification problem

  গ

  pattern mapping problem

  ঘ

  none of the mentioned
• Feedforward network are used for pattern storage?
  ক

  yes

  খ

  no
• Feedback connection strength are usually ?
  ক

  fixed

  খ

  variable

  গ

  both fixed or variable type

  ঘ

  none of the mentioned
• Competitive learning net is used for?
  ক

  pattern grouping

  খ

  pattern storage

  গ

  pattern grouping or storage

  ঘ

  none of the mentioned
• The simplest combination network is called competitive learning network?
  ক

  yes

  খ

  no
• Feedback networks are used for?
  ক

  autoassociation

  খ

  pattern storage

  গ

  both autoassociation & pattern storage

  ঘ

  none of the mentioned
• Feedforward networks are used for?
  ক

  pattern mapping

  খ

  pattern association

  গ

  pattern classification

  ঘ

  all of the mentioned