Artificial Intelligence - Artificial Neural Networks
51. In a batch mode of supervised learning,
- 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.
53. For input-output modeling, in terms of accuracy in predictions,
- 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.
54. Which one of the following statements is TRUE?
- 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.
