Ask a Question

Is it necessary to set initial weights in prceptron convergence theorem to zero?

in Education by
Is it necessary to set initial weights in prceptron convergence theorem to zero? (a) yes (b) no The question was asked in exam. My doubt stems from Pattern Classification topic in division Feedforward Neural Networks of Neural Networks Please answer the above question.

1 Answer

0 votes
by
Right choice is (b) no Easy explanation: Initial setting of weights doesn’t affect perceptron convergence theorem.

Related questions

0 votes
Q: The perceptron convergence theorem is applicable for what kind of data?
    The perceptron convergence theorem is applicable for what kind of data? (a) binary (b) bipolar (c) both binary and ... (d) none of the mentioned Please answer the above question....
asked Sep 3, 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: 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: What does 3rd theorem that describe the stability of a set of nonlinear dynamical systems?
    What does 3rd theorem that describe the stability of a set of nonlinear dynamical systems? (a) shows the stability of ... d) none of the mentioned Please answer the above question....
asked Sep 5, 2022 in Education by JackTerrance
0 votes
Q: Convergence refers to equilibrium behaviour of activation state?
    Convergence refers to equilibrium behaviour of activation state? (a) yes (b) no I have been asked this ... Synaptic Dynamics of Neural Networks Please answer the above question....
asked Sep 5, 2022 in Education by JackTerrance
0 votes
Q: Convergence in perceptron learning takes place if and only if:
    Convergence in perceptron learning takes place if and only if: (a) a minimal error condition is satisfied (b) actual ... (d) all of the mentioned Please answer the above question....
asked Sep 3, 2022 in Education by JackTerrance
0 votes
Q: Which action is faster pattern classification or adjustment of weights in neural nets?
    Which action is faster pattern classification or adjustment of weights in neural nets? (a) pattern classification (b ... , depending on conditions Please answer the above question....
asked Sep 21, 2022 in Education by JackTerrance
0 votes
Q: The procedure to incrementally update each of weights in neural is referred to as?
    The procedure to incrementally update each of weights in neural is referred to as? (a) synchronisation (b) ... both learning algorithm & law Please answer the above question....
asked Sep 21, 2022 in Education by JackTerrance
0 votes
Q: If two layers coincide & weights are symmetric(wij=wji), then what is that structure called?
    If two layers coincide & weights are symmetric(wij=wji), then what is that structure called? (a) instar ( ... memory (d) heteroassociative memory Please answer the above question....
asked Sep 21, 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: Adjustments in activation is slower than that of synaptic weights?
    Adjustments in activation is slower than that of synaptic weights? (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: 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: If weights are not symmetric i.e cik =! cki, then what happens?
    If weights are not symmetric i.e cik =! cki, then what happens? (a) network may exhibit periodic ... d) system in practical equilibrium Please answer the above question....
asked Sep 5, 2022 in Education by JackTerrance
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

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

...