Q. An instar can respond to a set of input vectors even if its not trained to capture the behaviour of the set?

View solution

Q. The weight change in plain hebbian learning is?

View solution

Q. What is the nature of weights in plain hebbian learning?

View solution

Q. How can divergence be prevented?

View solution

Q. By normalizing the weight at every stage can we prevent divergence?

View solution

Q. What is ojas rule?

View solution

Q. What is the other name of feedback layer in competitive neural networks?

View solution

Q. What kind of feedbacks are given in competitive layer?

View solution

Q. Generally how many kinds of pattern storage network exist?

View solution

Q. In competitive learning, node with highest activation is the winner, is it true?

View solution

Q. What kind of learning is involved in pattern clustering task?

View solution

Q. In pattern clustering, does physical location of a unit relative to other unit has any significance?

View solution

Q. How is feature mapping network distinct from competitive learning network?

View solution

Q. What is the objective of feature maps?

View solution

Q. How are weights updated in feature maps?

View solution

Q. In feature maps, when weights are updated for winning unit and its neighbour, which type learning it is known as?

View solution

Q. In self organizing network, how is layer connected to output layer?

View solution

Q. What is true regarding adaline learning algorithm?

View solution

Q. What is true for competitive learning?

View solution

Q. Use of nonlinear units in the feedback layer of competitive network leads to concept of?

View solution