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Neural architectures are appealing as mechanisms for implementing intelligence for a number of reasons. Traditional AI programs tend to be brittle and overly sensitive to noise rather than degrading gracefully such programs tend to either be right or fail completely. Neural architectures because they capture knowledge in a large number of fine grained units. Seem to have more potential for partially matching noisy and incomplete data. Neural architectures are also more robust because knowledge is distributed somewhat uniformly around the network.
Jobs which are admitted to the system for processing is called ? Ans. Long-term scheduling is admitted to the system for processing.
How putchar function is used within a C Program ? The following program reads each character in the first line of input entered at the terminal's keyboard. It uses putchar to d
Discuss two main approaches to reuse free memory area in a heap. Two major approaches to reuse free memory area in a heap are: First-fit: Allocate the first hole which i
What is the maximum size of a database that can be opened in Microsoft Access? Ans) 1 Gigabyte
for calculating simple interest
Q. The work function of a metal surface is 6.626 X 10-19 joule. Compute the frequency of the radiation? Work function W = hγ o The fre
Define entry section and exit section. The critical section problem is to design a protocol that the processes can use to cooperate. Every process must request permission to e
Performance and Issues in Pipelining Throughput: Throughput of a pipeline can be defined as the number of results that have been getting per unit time. It can be denoted as:
Q. What is Associative Mapping Cache? The most fastest and flexible cache organization employs an associative memory that is displayed in Figure below. The associative memory s
There are various approaches to the classification of Computer Networks. One such classification is based on distance approach. Networks can be classified into LAN, WAN and MAN net
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