gs gs127 Basics of Artificial Neural Networks - Models - Quiz No.1
gs gs127 SQLite Quiz
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Question 1: What is the name of the model in figure below?
Rosenblatt perceptron model
McCulloch-pitts model
Widrow’s Adaline model
None of the mentioned
Question 2: What is nature of function F(x) in the figure?
linear
non-linear
can be either linear or non-linear
none of the mentioned
Question 3: What does the character ‘b’ represents in the above diagram?
bias
any constant value
a variable value
none of the mentioned
Question 4: If ‘b’ in the figure below is the bias, then what logic circuit does it represents?
or gate
and gate
nor gate
nand gate
Question 5: When both inputs are 1, what will be the output of the above figure?
0
1
either 0 or 1
z
Question 7: Which of the following model has ability to learn?
pitts model
rosenblatt perceptron model
both rosenblatt and pitts model
neither rosenblatt nor pitts
Question 11: Who invented perceptron neural networks?
McCullocch-pitts
Widrow
Minsky & papert
Rosenblatt
Question 12: What was the 2nd stage in perceptron model called?
sensory units
summing unit
association unit
output unit
Question 13: What was the main deviation in perceptron model from that of MP model?
more inputs can be incorporated
learning enabled
all of the mentioned
none of the mentioned
Question 14: What is delta (error) in perceptron model of neuron?
error due to environmental condition
difference between desired & target output
can be both due to difference in target output or environmental condition
none of the mentioned
Question 15: If a(i) is the input, ^ is the error, n is the learning parameter, then how can weight change in a perceptron model be represented?
na(i)
n^
^a(i)
none of the mentioned
Question 16: What is adaline in neural networks?
adaptive linear element
automatic linear element
adaptive line element
none of the mentioned
Question 17: who invented the adaline neural model?
Rosenblatt
Hopfield
Werbos
Widrow
Question 18: What was the main point of difference between the adaline & perceptron model?
weights are compared with output
sensory units result is compared with output
analog activation value is compared with output
all of the mentioned
Question 19: In adaline model what is the relation between output & activation value(x)?
linear
nonlinear
can be either linear or non-linear
none of the mentioned
Question 20: what is the another name of weight update rule in adaline model based on its functionality?
LMS error learning law
gradient descent algorithm
both LMS error & gradient descent learning law
none of the mentioned
