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.

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. Correct Answer (i) and (ii) are true

The training time depends on the size of the network; the number of neuron is greater and therefore the number of possible ‘states’ is increased. Neural networks can be simulated on a conventional computer but the main advantage of neural networks – parallel execution – is lost. Artificial neurons are not identical in operation to the biological ones.
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Related Questions

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.
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.
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.
Artificial neural networks may be thought of as simplified models of the networks of neurons that occur naturally in the ________
Artificial neural networks may be thought of as simplified models of the networks of neurons that occur naturally in the . . . . . . . .
You are the administrator of a Windows 2000 Server computer. The server contains one network adapter and is a file and print server for critical company resources. You install a second network adpater in the server and connect it to the same network subnet as the first adapter. You want to ensure that the first adapter is used for all network traffic and the second adapter is used only if the first adapter fails or is disconnected from the network. You also want to ensure that the server always has network connectivity even if one network adapter fails. What should you do?
Your network uses TCP/IP as the only network protocol. Devices on the network are configured to use IP address from the private 10.0.0.0 range. All the client computers on the network runs Windows 2000 Professional. The network includes Windows 2000 Server computers and UNIX servers. User's print jobs are sent to shared printers on a Windows 2000 Server computer named PrintServ that directs the print jobs to print devices attached directly to the network. You have a high-capacity print device that is attached to one of the UNIX servers. The UNIX computer uses the LPR printing protocol, and it's IP address is 10.1.1.99. The name of the printer queue is GIANT. You want users to be able to connect to this printer from their computers. What should you do?
There is a network that can connect networks ranging from small location or area to a bigger range including public packet network and large corporate networks. That networks enterprise allows users to share access to applications,services and other centrally located resources. Its ability for a huge geographical access has transformed networking.Which among the following is that network?
From an alloy, two specimens are machined and tested separately under tension and compression. The engineering stress-strain curves as well as the true stress-true strain curves for tension and compression are plotted in the same diagram. Identify the correct statements:
P. The engineering stress-strain curves in tension and compression are identical.
Q. The true stress-true strain curve in compression is lower than the true stresstrue strain curve in tension due to Bauschinger effect.
R. The true stress-true strain curve in tension is above the corresponding engineering stress-strain, curve.
S. The true stress-true strain curve in tension and compression are identical.
We have been given a dataset with n records in which we have input attribute as x and output attribute as y. Suppose we use a linear regression method to model this data. To test our linear regressor, we split the data in training set and test set randomly. Now we increase the training set size gradually. As the training set size increases, what do you expect will happen with the mean training error?