Q.1
Who invented perceptron neural networks?
  • a) McCullocch-pitts
  • b) Widrow
  • c) Minsky & papert
  • d) Rosenblatt
Q.2
What was the 2nd stage in perceptron model called?
  • a) sensory units
  • b) summing unit
  • c) association unit
  • d) output unit
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
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
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
Q.6
who invented the adaline neural model?
  • a) Rosenblatt
  • b) Hopfield
  • c) Werbos
  • d) Widrow
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
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
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
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