Neural Networks and Fuzzy Logic Mid - II, April - 2015

1.An auto-associative network is:
  • a neural network that contains no loops
  • a neural network that contains feedback
  • a neural network that has only one loop
  • a single layer feed-forward neural network with pre-processing
Answer: B
2.Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.
  • AND
  • OR
  • NOT
  • All of the above
Answer: D
3.Which of the following is true? Single layer associative neural networks do not have the ability to: (i) perform pattern recognition (ii) find the parity of a picture (iii) determine whether two or more shapes in a picture are connected or not
  • (ii) and (iii) are true
  • (ii) is true
  • All of the mentioned
  • None of the mentioned
Answer: A
4.How is Fuzzy Logic different from conventional control methods?
  • IF and THEN Approach
  • FOR Approach
  • WHILE Approach
  • DO Approach
Answer: A
5.There are also other operators, more linguistic in nature, called _____that can be applied to fuzzy set theory.
  • Hedges
  • Lingual Variable
  • Fuzz Variable
  • None of the mentioned
Answer: A
6.Hopfield's auto associative energy function is given by
  • E(A) = - AMT
  • E(A) = - AMAT
  • E(A) = - ATM
  • None
Answer: B
7.Most BAM architectures employ ___________of pattern pairs which are to be associated.
  • bipolar encoding
  • single polar encoding
  • triple polar encoding
  • All of the above
Answer: A
8.Which of the following is BAM training algorithm ?
  • Storage algorithm
  • Recall algorithm
  • both a and b
  • BAM stability theorem
Answer: C
9.______________ is/are the way/s to represent uncertainty.
  • Fuzzy Logic
  • Probability
  • Entropy
  • All of the mentioned
Answer: D
10.Defuzzification is defined as
  • conversion of a fuzzy set to crisp set
  • conversion of a crisp set to fuzzy set
  • conversion of a single set to two set
  • None of the above
Answer: A
11.Hamming Distance is used to measure ________________.
Answer: similarity
12.Bidirectional associative memory consist of _______ layers.
Answer: two
13.______________ is defined as an integer equal to the number of bit positions differing between two binary vectors of the same length.
Answer: hamming distance
14.Auto associative correlation memories are known as ____________.
Answer: autocorrelators
15.BAM stands for ______________________________.
Answer: Bidirectional Associative Memory
16.Fuzzy set theory is a effective tool to tackle the problem of ________________
Answer: uncertainty
17.The fuzzy membership functions could be ______________
Answer: triangular, trapezoidal and curved
18.___________ is a statement which acquires a fuzzy truth value
Answer: fuzzy proposition
19.The reverse process of a fuzzification is known as ________
Answer: defuzzification
20.Centroid method is also known as __________
Answer: centre of gravity or centre of area method