Q. Which is used to choose among multiple consistent hypotheses?

View solution

Q. What will happen if the hypothesis space contains the true function?

View solution

Q. What takes input as an object described by a set of attributes?

View solution

Q. How the decision tree reaches its decision?

View solution

Q. A perceptron is:

View solution

Q. An auto-associative network is:

View solution

Q. Which of the following is true?
(i) On average, neural networks have higher computational rates than conventional computers.
(ii) Neural networks learn by example.
(iii) Neural networks mimic the way the human brain works.

View solution

Q. A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. The output will be:

View solution

Q. Which of the following is true for neural networks?
(i) The training time depends on the size of the network.
(ii) Neural networks can be simulated on a conventional computer.
(iii) Artificial neurons are identical in operation to biological ones.

View solution

Q. What are the advantages of neural networks over conventional computers?
(i) They have the ability to learn by example
(ii) They are more fault tolerant
(iii)They are more suited for real time operation due to their high ‘computational’ rates

View solution

Q. Which of the following is true?
Single layer associative neural networks do not have the ability to:
(i) perform pattern recognition
(ii) find the parity of a picture
(iii)determine whether two or more shapes in a picture are connected or not

View solution

Q. Which is true for neural networks?

View solution

Q. Neuro software is:

View solution

Q. Why are linearly separable problems of interest of neural network researchers?

View solution

Q. Programming a robot by physically moving it through the trajectory you want it to follow is called:

View solution

Q. Who was the inventor of the first neurocomputer?

View solution

Q. How many types of Artificial Neural Networks?

View solution

Q. In which ANN, loops are allowed?

View solution

Q. What is the full form of BN in Neural Networks?

View solution

Q. What is the name of node which take binary values TRUE (T) and FALSE (F)?

View solution