adplus-dvertising
frame-decoration

Question

How can false minima be reduced in case of error in recall in feedback neural networks?

a.

by providing additional units

b.

by using probabilistic update

c.

can be either probabilistic update or using additional units

d.

none of the mentioned

Answer: (b).by using probabilistic update

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. How can false minima be reduced in case of error in recall in feedback neural networks?

Similar Questions

Discover Related MCQs

Q. What is a Boltzman machine?

Q. What is objective of linear autoassociative feedforward networks?

Q. Is there any error in linear autoassociative networks?

Q. If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output in case of autoassociative feedback network?

Q. If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output if system is accretive in nature?

Q. If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output if system is interpolative in nature?

Q. What property should a feedback network have, to make it useful for storing information?

Q. What is the objective of a pattern storage task in a network?

Q. Linear neurons can be useful for application such as interpolation, is it true?

Q. What is the objective of pattern recall?

Q. Can data be stored through weights?

Q. How is pattern storage task generally accomplished?

Q. The trajectory of the state is determined by?

Q. What do you mean by the term trajectory of states?

Q. What determines shape of energy landscape?

Q. What may create basins of attraction in energy landscape?

Q. What is the effect of basins of attraction on energy landscape?

Q. What does basins of attraction corresponds to?

Q. Basins of attraction in energy landscape leads to fluctuations, is that true?

Q. For what purpose energy minima are used?