adplus-dvertising
frame-decoration

Question

How is weight vector adjusted in basic competitive learning?

a.

such that it moves towards the input vector

b.

such that it moves away from input vector

c.

such that it moves towards the output vector

d.

such that it moves away from output vector

Answer: (a).such that it moves towards the input vector

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. How is weight vector adjusted in basic competitive learning?

Similar Questions

Discover Related MCQs

Q. The update in weight vector in basic competitive learning can be represented by?

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

Q. The weight change in plain hebbian learning is?

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

Q. How can divergence be prevented?

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

Q. What is ojas rule?

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

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

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

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

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

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

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

Q. What is the objective of feature maps?

Q. How are weights updated in feature maps?

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

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

Q. What is true regarding adaline learning algorithm?

Q. What is true for competitive learning?