Related InterviewSolutions

• Can a neural network learn & recall at the same time?(a) yes(b) noI got this question in class test.The origin of the question is Recall topic in section Activation and Synaptic Dynamics of Neural Networks
• In nearest neighbour case, the stored pattern closest to input pattern is recalled, where does it occurs?(a) feedback pattern classification(b) feedforward pattern classification(c) can be feedback or feedforward(d) none of the mentionedI have been asked this question at a job interview.Origin of the question is Recall topic in chapter Activation and Synaptic Dynamics of Neural Networks
• What happens during recall in neural networks?(a) weight changes are suppressed(b) input to the network determines the output activation(c) both process has to happen(d) none of thementionedThis question was posed to me during an interview.This question is from Recall in section Activation and Synaptic Dynamics of Neural Networks
• What does 3rd theorem that describe the stability of a set of nonlinear dynamical systems?(a) shows the stability of fixed weight autoassociative networks(b) shows the stability of adaptive autoaassociative networks(c) shows the stability of adaptive heteroassociative networks(d) none of the mentionedI have been asked this question in an international level competition.Origin of the question is Recall topic in division Activation and Synaptic Dynamics of Neural Networks
• What does cohen grossberg kosko theorem?(a) shows the stability of fixed weight autoassociative networks(b) shows the stability of adaptive autoaassociative networks(c) shows the stability of adaptive heteroassociative networks(d) none of the mentionedI got this question in an international level competition.My question is from Recall topic in portion Activation and Synaptic Dynamics of Neural Networks
• What does cohen grossberg theorem?(a) shows the stability of fixed weight autoassociative networks(b) shows the stability of adaptive autoaassociative networks(c) shows the stability of adaptive heteroassociative networks(d) none of the mentionedThis question was posed to me in examination.Question is taken from Recall topic in division Activation and Synaptic Dynamics of Neural Networks
• V(x) is said to be lyapunov function if?(a) v(x) >=0(b) v(x)
• Lyapunov function is vector in nature?(a) yes(b) noThe question was posed to me in an internship interview.My question is based upon Recall in division Activation and Synaptic Dynamics of Neural Networks
• Did existence of lyapunov function is necessary for stability?(a) yes(b) noThis question was posed to me at a job interview.The query is from Recall in division Activation and Synaptic Dynamics of Neural Networks
• What’s the role of lyaopunov fuction?(a) to determine stability(b) to determine convergence(c) both stability & convergence(d) none of the mentionedI got this question during a job interview.My doubt stems from Recall topic in portion Activation and Synaptic Dynamics of Neural Networks