Advanced Neural Network And Fuzzy System Set 3

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This set of Advanced Neural Network and Fuzzy System Multiple Choice Questions & Answers (MCQs) focuses on Advanced Neural Network And Fuzzy System Set 3

Q1 | A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
  • decision tree
  • graphs
  • trees
  • neural networks
Q2 | Decision Tree is
  • flow-chart
  • structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label
  • both a) & b)
  • none of the mentioned
Q3 | How many types of learning are available in machine learning?
  • 1
  • 2
  • 3
  • 4
Q4 | Choose from the following that are Decision Tree nodes
  • decision nodes
  • weighted nodes
  • chance nodes
  • end nodes
Q5 | Decision Nodes are represented by,
  • disks
  • squares
  • circles
  • triangles
Q6 | Chance Nodes are represented by,
  • disks
  • squares
  • circles
  • triangles
Q7 | End Nodes are represented by,
  • disks
  • squares
  • circles
  • triangles
Q8 | How the decision tree reaches its decision?
  • single test
  • two test
  • sequence of test
  • no test
Q9 | What is the other name of informed search strategy?
  • simple search
  • heuristic search
  • online search
  • none of the mentioned
Q10 | How many types of informed search method are in artificial intelligence?
  • 1
  • 2
  • 3
  • 4
Q11 | Which function will select the lowest expansion node atfirst for evaluation?
  • greedy best-first search
  • best-first search
  • both a & b
  • none of the mentioned
Q12 | What is the heuristic function of greedy best-first search?
  • f(n) != h(n)
  • f(n) < h(n)
  • f(n) = h(n)
  • f(n) > h(n)
Q13 | Which search uses only the linear space for searching?
  • best-first search
  • recursive best-first search
  • depth-first search
  • none of the mentioned
Q14 | Which method is used to search better by learning?
  • best-first search
  • depth-first search
  • metalevel state space
  • none of the mentioned
Q15 | Which search is complete and optimal when h(n) is consistent?
  • best-first search
  • depth-first search
  • both a & b
  • a* search
Q16 | Which is used to improve the performance of heuristic search?
  • quality of nodes
  • quality of heuristic function
  • simple form of nodes
  • none of the mentioned
Q17 | Which search method will expand the node that is closest to the goal?
  • best-first search
  • greedy best-first search
  • a* search
  • none of the mentioned
Q18 | Which data structure is used to give better heuristic estimates?
  • forwards state-space
  • backward state-space
  • planning graph algorithm
  • none of the mentioned
Q19 | Which is used to extract solution directly from the planning graph?
  • planning algorithm
  • graph plan
  • hill-climbing search
  • all of the mentioned
Q20 | What are present in the planning graph?
  • sequence of levels
  • literals
  • variables
  • heuristic estimates
Q21 | What is the starting level of planning graph?
  • level 3
  • level 2
  • level 1
  • level 0
Q22 | What are present in each level of planning graph?
  • literals
  • actions
  • variables
  • both a & b
Q23 | Which kind of problem is suitable for planning graph?
  • propositional planning problem
  • planning problem
  • action problem
  • none of the mentioned
Q24 | What is meant by persistence actions?
  • allow a literal to remain false
  • allow a literal to remain true
  • both a & b
  • none of the mentioned
Q25 | When will further expansion is unnecessary for planning graph?
  • identical
  • replicate
  • not identical
  • none of the mentioned