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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.
A logic gate is an electronic circuit that generates a typical output signal which depends on its input signal. Output signal of a gate is a general boolean operation of its input
Parallelism Conditions As discussed earlier, parallel computing needs that the segments to be implemented in parallel must be free of each other. Thus, before implementing para
Q. Explain about Floating Point Representation? Floating-point number representation includes two parts. The first part of number is a signed fixed-point number which is called
Levels Of Parallel Processing Depending upon the difficulty under consideration, parallelism in the answer of the problem may be achieved at dissimilar levels and in different
What is compound statement If we wish to have more than one statement following the if or the else, they should be grouped together between curly brackets. Such a grouping is c
what is linear model and its type
recovery techniques
If the input to T-flipflop is 100 Hz signal, the final output of the three T-flipflops in cascade is ? Ans. The final output of the three T-flip-flops in cascade is 12
In a hundred-line exchange 24 two-motion selectors are used. Draw the schematic you suggest for this exchange and explain its working. How many simultaneous calls can be made durin
Bernstein Conditions for Detection of Parallelism For execution of a number of instructions or a block of instructions in parallel, it must be made certain that instructions ar
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