Q. If some of output patterns in pattern association problem are identical then problem shifts to?

View solution

Q. The network for pattern mapping is expected to perform?

View solution

Q. In case of autoassociation by feedback nets in pattern recognition task, what is the behaviour expected?

View solution

Q. In case of pattern by feedback nets in pattern recognition task, what is the behaviour expected?

View solution

Q. What are hard problems?

View solution

Q. In order to overcome constraint of linearly separablity concept of multilayer feedforward net is proposed?

View solution

Q. The hard learning problem is ultimately solved by hoff’s algorithm?

View solution

Q. Generalization feature of a multilayer feedforward network depends on factors?

View solution

Q. What is accretive behaviour?

View solution

Q. What is Interpolative behaviour?

View solution

Q. Does pattern association involves non linear units in feedforward neural network?

View solution

Q. What is the feature that doesn’t belongs to pattern classification in feeddorward neural networks?

View solution

Q. What is the feature that doesn’t belongs to pattern mapping in feeddorward neural networks?

View solution

Q. In determination of weights by learning, for orthogonal input vectors what kind of learning should be employed?

View solution

Q. In determination of weights by learning, for linear input vectors what kind of learning should be employed?

View solution

Q. In determination of weights by learning, for noisy input vectors what kind of learning should be employed?

View solution

Q. What are the features that can be accomplished using affine transformations?

View solution

Q. What is the features that cannot be accomplished earlier without affine transformations?

View solution

Q. What are affine transformations?

View solution

Q. Can a artificial neural network capture association if input patterns is greater then dimensionality of input vectors?

View solution