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