Ask a Question

In determination of weights by learning, for noisy input vectors what kind of learning should be employed?

in Education by
In determination of weights by learning, for noisy input vectors what kind of learning should be employed? (a) hebb learning law (b) widrow learning law (c) hoff learning law (d) no learning law Please answer the above question.

1 Answer

0 votes
by
The correct answer is (d) no learning law Easiest explanation: For noisy input vectors, there is no learning law.

Related questions

0 votes
Q: In determination of weights by learning, for orthogonal input vectors what kind of learning should be employed?
    In determination of weights by learning, for orthogonal input vectors what kind of learning should be employed? (a) hebb ... (d) no learning law Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
0 votes
Q: In determination of weights by learning, for linear input vectors what kind of learning should be employed?
    In determination of weights by learning, for linear input vectors what kind of learning should be employed? (a) hebb ... (d) no learning law Please answer the above question....
asked Sep 4, 2022 in Education by JackTerrance
0 votes
Q: For noisy input vectors, Hebb methodology of learning can be employed?
    For noisy input vectors, Hebb methodology of learning can be employed? (a) yes (b) no This question was ... Neural Networks of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
0 votes
Q: In a linear autoassociative network, if input is noisy than output will be noisy?
    In a linear autoassociative network, if input is noisy than output will be noisy? (a) yes (b) no This ... Neural Networks of Neural Networks Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
0 votes
Q: In feature maps, when weights are updated for winning unit and its neighbour, which type learning it is known as?
    In feature maps, when weights are updated for winning unit and its neighbour, which type learning it is known as? (a ... (d) none of the mentioned Please answer the above question....
asked Aug 27, 2022 in Education by JackTerrance
0 votes
Q: In hebbian learning intial weights are set?
    In hebbian learning intial weights are set? (a) random (b) near to zero (c) near to target value (d) near to target value Please answer the above question....
asked Sep 7, 2022 in Education by JackTerrance
0 votes
Q: Online learning allows network to incrementally adjust weights continuously?
    Online learning allows network to incrementally adjust weights continuously? (a) yes (b) no This question was ... Dynamics of Neural Networks Please answer the above question....
asked Sep 5, 2022 in Education by JackTerrance
0 votes
Q: Stability refers to adjustment in behaviour of weights during learning?
    Stability refers to adjustment in behaviour of weights during learning? (a) yes (b) no This question was ... Synaptic Dynamics of Neural Networks Please answer the above question....
asked Sep 5, 2022 in Education by JackTerrance
0 votes
Q: What is the nature of weights in plain hebbian learning?
    What is the nature of weights in plain hebbian learning? (a) convergent (b) divergent (c) may be convergent or divergent (d) none of the mentioned Please answer the above question....
asked Aug 27, 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: An instar can respond to a set of input vectors even if its not trained to capture the behaviour of the set?
    An instar can respond to a set of input vectors even if its not trained to capture the behaviour of the ... Neural Networks of Neural Networks Please answer the above question....
asked Aug 27, 2022 in Education by JackTerrance
0 votes
Q: Does pattern classification & grouping involve same kind of learning?
    Does pattern classification & grouping involve same kind of learning? (a) yes (b) no This question was ... Introduction of Neural Networks Please answer the above question....
asked Sep 21, 2022 in Education by JackTerrance
0 votes
Q: What kind of dynamics leads to learning laws?
    What kind of dynamics leads to learning laws? (a) synaptic (b) neural (c) activation (d) both synaptic & neural Please answer the above question....
asked Sep 7, 2022 in Education by JackTerrance
0 votes
Q: Boltzman learning uses what kind of learning?
    Boltzman learning uses what kind of learning? (a) deterministic (b) stochastic (c) either deterministic or stochastic (d) none of the mentioned Please answer the above question....
asked Sep 5, 2022 in Education by JackTerrance
0 votes
Q: What kind of learning is involved in pattern clustering task?
    What kind of learning is involved in pattern clustering task? (a) supervised (b) unsupervised (c) learning with critic (d) none of the mentioned Please answer the above question....
asked Aug 27, 2022 in Education by JackTerrance

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

...