MCQOPTIONS
Home
About Us
Contact Us
Bookmark
Saved Bookmarks
Testing Subject
General Aptitude
Logical and Verbal Reasoning
English Skills Ability
Technical Programming
Current Affairs
General Knowledge
Finance & Accounting
GATE (Mechanical Engineering)
Chemical Engineering
→
Neural Networks
→
Hopfield Model
→
For_noisy_input_vectors,_Hebb_methodology_of_learn...
1.
For_noisy_input_vectors,_Hebb_methodology_of_learning_can_be_employed?$
A.
yes
B.
no
Answer» C.
Show Answer
Discussion
No Comment Found
Post Comment
Related MCQs
For noisy input vectors, Hebb methodology of learning can be employed?
Number of output cases depends on what factor?
In determination of weights by learning, for noisy input vectors what kind of learning should be employed?
NUMBER_OF_OUTPUT_CASES_DEPENDS_ON_WHAT_FACTOR??$
For_noisy_input_vectors,_Hebb_methodology_of_learning_can_be_employed?$
By using only linear processing units in output layer, can a artificial neural network capture association if input patterns is greater then dimensionality of input vectors?
Can a artificial neural network capture association if input patterns is greater then dimensionality of input vectors?
what are affine transformations?
What is the features that cannot be accomplished earlier without affine transformations?
What are the features that can be accomplished using affine transformations?
Reply to Comment
×
Name
*
Email
*
Comment
*
Submit Reply
Your experience on this site will be improved by allowing cookies. Read
Cookie Policy
Reject
Allow cookies