How is weight vector adjusted in basic competitive learning?

such that it moves away from input vector

such that it moves towards the input vector

such that it moves away from input vector

such that it moves towards the output vector

such that it moves away from output vector

What conditions are must for competitive network to perform feature mapping?

connection to neighbours is excitatory and to the farther units inhibitory

on centre off surround connections

none of the mentioned fulfils the whole criteria

Explore topic-wise MCQs in Neural Network.

This section includes 2 Mcqs, each offering curated multiple-choice questions to sharpen your Neural Network knowledge and support exam preparation. Choose a topic below to get started.

1.	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» B. such that it moves away from input vector

Discussion

2.	What conditions are must for competitive network to perform feature mapping?
A.	non linear output layers
B.	connection to neighbours is excitatory and to the farther units inhibitory
C.	on centre off surround connections
D.	none of the mentioned fulfils the whole criteria
Answer» E.

Discussion