Ask a Question

Heteroassociative memory can be an example of which type of network?

in Education by
Heteroassociative memory can be an example of which type of network? (a) group of instars (b) group of oustar (c) either group of instars or outstars (d) both group of instars or outstars Please answer the above question.

1 Answer

0 votes
by
Correct answer is (c) either group of instars or outstars Best explanation: Depending upon the flow, the memory can be of either of the type.

Related questions

0 votes
Q: Heteroassociative memory is also known as?
    Heteroassociative memory is also known as? (a) unidirectional memory (b) bidirectional memory (c) ... temporal associative memory Please answer the above question....
asked Aug 27, 2022 in Education by JackTerrance
0 votes
Q: Associative memory, if used in feedback structure of hopfield type can function as?
    Associative memory, if used in feedback structure of hopfield type can function as? (a) data memory (b) cluster (c) ... (d) none of the mentioned Please answer the above question....
asked Aug 23, 2022 in Education by JackTerrance
0 votes
Q: Which application out of these of robots can be made of single layer feedforward network?
    Which application out of these of robots can be made of single layer feedforward network? (a) wall climbing (b) ... control (d) wall following Please answer the above question....
asked Aug 26, 2022 in Education by JackTerrance
0 votes
Q: Can data be stored directly in associative memory?
    Can data be stored directly in associative memory? (a) yes (b) no I had been asked this question during ... of ANN of Neural Networks Please answer the above question....
asked Aug 27, 2022 in Education by JackTerrance
0 votes
Q: How can output be updated in neural network?
    How can output be updated in neural network? (a) synchronously (b) asynchronously (c) both synchronously & ... ) none of the mentioned Please answer the above question....
asked Sep 21, 2022 in Education by JackTerrance
0 votes
Q: Can all hard problems be handled by a multilayer feedforward neural network, with nonlinear units?
    Can all hard problems be handled by a multilayer feedforward neural network, with nonlinear units? (a) yes ( ... Networks of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
0 votes
Q: What can be done by using non – linear output function for each processing unit in a feedback network?
    What can be done by using non - linear output function for each processing unit in a feedback network? (a) pattern ... (d) all of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
0 votes
Q: The number of patterns that can be stored in a given network depends on?
    The number of patterns that can be stored in a given network depends on? (a) number of units (b) strength of ... links (d) none of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
0 votes
Q: If a competitive network can perform feature mapping then what is that network can be called?
    If a competitive network can perform feature mapping then what is that network can be called? (a) self excitatory (b ... (d) none of the mentioned Please answer the above question....
asked Aug 27, 2022 in Education by JackTerrance
0 votes
Q: A network will be useful only if, it leads to equilibrium state at which there is no change of state?
    A network will be useful only if, it leads to equilibrium state at which there is no change of state? ( ... Synaptic Dynamics of Neural Networks Please answer the above question....
asked Sep 5, 2022 in Education by JackTerrance
0 votes
Q: Can a neural network learn & recall at the same time?
    Can a neural network learn & recall at the same time? (a) yes (b) no I got this question in class ... and Synaptic Dynamics of Neural Networks Please answer the above question....
asked Sep 5, 2022 in Education by JackTerrance
0 votes
Q: 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? ... of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
0 votes
Q: Intersection of linear hyperplanes in three layer network can only produce convex surfaces, is the statement true?
    Intersection of linear hyperplanes in three layer network can only produce convex surfaces, is the statement true? ... Networks of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
0 votes
Q: Intersection of convex regions in three layer network can only produce convex surfaces, is the statement true?
    Intersection of convex regions in three layer network can only produce convex surfaces, is the statement true? (a ... Networks of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
0 votes
Q: To provide generalization capability to a network, what should be done?
    To provide generalization capability to a network, what should be done? (a) all units should be linear (b) all units ... (d) none of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance

© Copyright 2018-2023 www.Blogmepost.com. All rights reserved. Developed by Blogmepost.

...