Dynamic Systems

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Across
  1. 7. / converter is an example of __________ network.
  2. 8. A function used to Prove the stability of equilibrium.
  3. 9. A neural network in which the computational energy decreases continuously in time.
  4. 10. A point on the graph of a function where the slopes in orthogonal directions are all zero.
Down
  1. 1. A state toward which the system evolves in time starting from certain initial conditions.
  2. 2. A temporary response that will die out with time.
  3. 3. Relaxation algorithm is _________ algorithm.
  4. 4. A square matrix of second-order partial derivatives of a scalar field.
  5. 5. A state where the system, when sequential update produces no new updated response.
  6. 6. The first person to try to solve the TSP using a neural network.