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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.
Which device consume minimum power ? Ans. Minimum power consume by CMOS as in its one p-MOS and one n-MOS transistors are connected in complimentary mode, so one device is ON a
What are the dynapro keywords? FIELD, MODULE, SELECT, VALUES and CHAIN are the dynapro keywords
Explain the Working of Linker? Linker as well called as link editor and binder. A linker is the program that combines object modules to form an executable program. Several pro
Extension of propositional logic: Away from proving theorems directly, and the other main use for rewrite rules is to prepare a statement just for use before we search for th
Explain the different page replacement policies. Various page replacement algorithms are briefly explained below: 1. First-in, first-out FIFO page replacement algorith
what is transistor?
explain push and pop?
shell script to find the factorial of a given number using the for loop
The NAND gate. The NAND gate is equivalent to an AND gate followed by a NOT gate so that the output is 0 when all of the inputs are high, otherwise the output is 1. There may
Q. Explain about Deadlock Avoidance? To prevent deadlocks two kinds of techniques are used: 1) Static prevention: It employs P and V operators in addition to Semaphores to
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