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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.
Problem : (a) Show whether or not a standard format for representing data, such as XML, is needed. (b) Using an appropriate example, describe how data is organized in a dat
For two stages network the switching elements for M inlets with r blocks and N outlets with s blocks is given by (A) Ms + Nr (B) Mr + Ns (
n=(x*2)/(1=0) the value x=0 and is used to stop the algerithin.The calculation is repeated using values of x=0 is input. There is only a need to check for error positions. The va
explanation of the difference between syntax and semantic errors
Q. Define Parameters used in Program Annotation? Parameters: A parameter refines and extends the meaning that assembler attributes to keyword in a statement. Number of param
What is virtual address? The binary address that the processor used for either instruction or data known as virtual address.
What is basic Analog Design? Analog design is rather challenging than digital design as analog circuits are sensitive to noise, operating voltages, loading circumstances and ot
what are the applications of photochemistry?
what is dbms goal?
How do you turn off cookies for one page in your site? Use the Cookie. Abandon Property which Gets or sets the discard flag set by the server. When true, this property instruc
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