- A the number of training scenarios should be at least equal to the number of design variables.
- B the number of training scenarios should be less than the number of design variables.
- C there is no relationship between the number of training scenarios and that of design variables.
- D there is no chance of over-training.
Artificial Intelligence MCQ - Artificial Neural Networks
- A Radial basis function neural network is found to be much better than multi-layer feed-forward neural network.
- B Multi-layer feed-forward neural network is found to be much better than Radial basis function neural network.
- C the performances of multi-layer fee-forward neural network and radial basis function neural network are comparable.
- D the performance of multi-layer feed-forward neural network and radial basis function neural network should not be compared.
- A Both multi-layer feed-forward neural network as well as radial basis function neural network can be used as clustering tools.
- B Both multi-layer feed-forward neural network as well a radial basis function neural network can be used as regression tools.
- C Multi-layer feed-forward neural network and radial basis function neural network can be used as regression and clustering tools, respectively.
- D Multi-layer feed-forward neural network and radial basis function neural network can be used as clustering and regression tools, respectively.
