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

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

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Q. How the decision tree reaches its decision?

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Q. A perceptron is:

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Q. An auto-associative network is:

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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.

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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:

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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.

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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

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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

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Q. Which is true for neural networks?

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Q. Neuro software is:

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

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

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Q. Who was the inventor of the first neurocomputer?

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Q. How many types of Artificial Neural Networks?

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Q. In which ANN, loops are allowed?

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

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

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Q. What is an auto-associative network?

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