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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.
Example of Bitwise-AND Operator In the following example, the bitwise-AND operator (&) compares the bits of two integers, nNumA and nNumB: // Example of the bitwise-AND oper
A minterm is an AND expression involving all input variables in either inverted or non-inverted form.For one particular row the associated mintermis the only minterm which equals l
Explain about the non-repudiation? Non Repudiation: Assurance which the sender is provided along with proof of delivery and which the recipient is given along with proof
to find the area under curve
Q. Fundamental components of a microprocessor? The word 'micro' is used in microphones, microscopes, microwaves, microprocessors, microcomputers, microprogramming, microcodes e
what is memory paging
Bit Slice ALUs It was possible to manufacture smaller like 4 or 8 bits fixed point ALUs on a single IC chip. If these chips are constructed as expendable types then employing
Write a short notes on transition from IPv4 to IPv6
Information Gain: Now next here instantly return to the problem of trying to determine the best attribute to choose for a particular node in a tree. As in the following measur
Give example of Real time (transaction) processing Using this illustration of booking seats on a flight, below sequence of events would occur: - Customer/travel agent conta
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