MCQ quiz on Neural Network and Fuzzy Logic multiple choice questions and answers on Neural Network and Fuzzy Logic MCQ questions on Neural Network and Fuzzy Logic objectives questions with answer test pdf for interview preparations, freshers jobs and competitive exams. Professionals, Teachers, Students and Kids Trivia Quizzes to test your knowledge on the subject.

Neural Network and Fuzzy Logic Question with Answer


1. ..................is/are the way/s to represent uncertainty.

  1. Entropy
  2. All of the mentioned
  3. Fuzzy Logic
  4. Probability

2. .................are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic.

  1. Fuzzy Set
  2. None of the mentioned
  3. Fuzzy Relational DB
  4. Ecorithms

3. A model of language consists of the categories which does not include

  1. System constraints
  2. Structural units
  3. Language units
  4. Role structure of units

4. A mouse device may be:

  1. optical
  2. both b and c
  3. electro-chemical
  4. mechanical

5. 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.

  1. Trees
  2. Neural Networks
  3. Decision tree
  4. Graphs

6. An expert system differs from a database program in that only an expert system:

  1. features the retrieval of stored information
  2. expects users to draw their own conclusions
  3. contains declarative knowledge
  4. contains procedural knowledge

7. Arthur Samuel is linked inextricably with a program that played:

  1. cricket
  2. football
  3. checkers
  4. chess

8. Chance Nodes are represented by,

  1. Circles
  2. Triangles
  3. Disks
  4. Squares

9. Decision Nodes are represented by,

  1. Circles
  2. Triangles
  3. Disks
  4. Squares

10. Decision Tree is

  1. Both a & b
  2. None of the mentioned
  3. Flow-Chart
  4. Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label

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