Q. Can a neural network learn and recall at the same time?

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Q. What happens during recall in neural networks?

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Q. What does 3rd theorem that describe the stability of a set of nonlinear dynamical systems?

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Q. What does cohen grossberg kosko theorem?

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Q. What does cohen grossberg theorem?

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Q. V(x) is said to be lyapunov function if?

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Q. Did existence of lyapunov function is necessary for stability?

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Q. What’s the role of lyaopunov fuction?

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Q. Lyapunov function is vector in nature?

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Q. A network will be useful only if, it leads to equilibrium state at which there is no change of state?

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Q. What is an objective of a learning law?

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Q. If states of system experience basins of attraction, then system may achieve what kind of stability?

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Q. Is pattern storage possible if system has chaotic stability?

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Q. If weights are not symmetric i.e cik =! cki, then what happens?

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Q. How many trajectories may terminate at same equilibrium state?

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Q. Stability is minimization of error between the desired and actual outputs?

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Q. What leads to minimization of error between the desired and actual outputs?

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Q. Convergence refers to equilibrium behaviour of activation state?

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Q. Stability refers to adjustment in behaviour of weights during learning?

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Q. Whats true for principal component learning?

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