Practice Neural Networks Interview Multiple Choice Questions with Answers Quiz-1 - MCQGeeks.com

Q.1.

Who invented perceptron neural networks?

a) McCullocch-pitts
b) Widrow
c) Minsky & papert
d) Rosenblatt

Explanation

Q.2.

What was the 2nd stage in perceptron model called?

a) sensory units
b) summing unit
c) association unit
d) output unit

Explanation

Q.3.

What was the main deviation in perceptron model from that of MP model?

a) more inputs can be incorporated
b) learning enabled
c) all of the mentioned
d) none of the mentioned

Explanation

Q.4.

What is delta (error) in perceptron model of neuron?

a) error due to environmental condition
b) difference between desired & target output
c) can be both due to difference in target output or environmental condition
d) none of the mentioned

Explanation

Q.5.

What is adaline in neural networks?

a) adaptive linear element
b) automatic linear element
c) adaptive line element
d) none of the mentioned

Explanation

Q.6.

who invented the adaline neural model?

a) Rosenblatt
b) Hopfield
c) Werbos
d) Widrow

Explanation

Q.7.

What was the main point of difference between the adaline & perceptron model?

a) weights are compared with output
b) sensory units result is compared with output
c) analog activation value is compared with output
d) all of the mentioned

Explanation

Q.8.

In adaline model what is the relation between output & activation value(x)?

a) linear
b) nonlinear
c) can be either linear or non-linear
d) none of the mentioned

Explanation

Q.9.

what is the another name of weight update rule in adaline model based on its functionality?

a) LMS error learning law
b) gradient descent algorithm
c) both LMS error & gradient descent learning law
d) none of the mentioned

Explanation