MCQOPTIONS
Bookmark
Saved Bookmarks
→
Neural Networks
→
Hopfield Model
→
How can divergence be prevented?..
1.
How can divergence be prevented?
A.
using hopfield criteria
B.
sangers rule
C.
ojas rule
D.
sangers or ojas rule
Answer» E.
Show Answer
Discussion
No Comment Found
Post Comment
Related MCQs
In competitive learning, node with highest activation is the winner, is it true?
Generally how many kinds of pattern storage network exist?
What is the nature of weights in plain hebbian learning?
The weight change in plain hebbian learning is?
GENERALLY_HOW_MANY_KINDS_OF_PATTERN_STORAGE_NETWORK_EXIST??$
In competitive learning, node with highest activation is the winner, is it true?$
what kind of feedbacks are given in competitive layer?
What is the other name of feedback layer in competitive neural networks?
What is ojas rule?
By normalizing the weight at every stage can we prevent divergence?
Reply to Comment
×
Name
*
Email
*
Comment
*
Submit Reply