Linear_neurons_can_be_useful_for_application_such_as_interpolation,_is – McqOptions

MCQOPTIONS

1.	Linear_neurons_can_be_useful_for_application_such_as_interpolation,_is_it_true?$
A.	yes
B.	no
Answer» B. no

Discussion

No Comment Found

Related MCQs

Linear neurons can be useful for application such as interpolation, is it true?
What is the objective of a pattern storage task in a network?
If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output if system is interpolative in nature?
If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output if system is accretive in nature?
If input is ‘ a(l) + e ‘ where ‘e’ is the noise introduced, then what is the output in case of autoassociative feedback network?
WHAT_IS_THE_OBJECTIVE_OF_A_PATTERN_STORAGE_TASK_IN_A_NETWORK??$
Linear_neurons_can_be_useful_for_application_such_as_interpolation,_is_it_true?$
What property should a feedback network have, to make it useful for storing information?
If input is ‚Äö√Ñ√∂‚àö√ë‚àö‚â§ a(l) + e ‚Äö√Ñ√∂‚àö√ë‚àö‚â§ where ‚Äö√Ñ√∂‚àö√ë‚àö‚â§e‚Äö√Ñ√∂‚àö√ë‚àö¬• is the noise introduced, then what is the output if system is interpolative in nature?#
If input is ‚Äö√Ñ√∂‚àö√ë‚àö‚â§ a(l) + e ‚Äö√Ñ√∂‚àö√ë‚àö‚â§ where ‚Äö√Ñ√∂‚àö√ë‚àö‚â§e‚Äö√Ñ√∂‚àö√ë‚àö¬• is the noise introduced, then what is the output in case of autoassociative feedback network?$