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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.
What is digital decoders
What are Digital Signatures and its uses? A digital signature is an electronic quite than a written signature which can be used through someone to authenticate the identity of
Hello Sir/Mam, Actually i am trying to implement the concept of MAC layer protocols in NS2..... But unfortunately i am not able to do that.... and not even able to get the code fo
why impotant keys
Explain DOS function call with one illustration DOS function call In order to use DOS function calls, always place function number into register AH and load all other re
In IP addressing scheme, class used for multicasting is: A class used for multicasting in IP addressing scheme is class D.
Write a script called addnames that is to be called as follows, where classlist is the name of the classlist file, and username is a particular student''s username. ./addnames cla
What is meant by stacked list? A stacked list is nothing but secondary list and is showed on a full-size screen unless you have specified its coordinates using the window comm
Q. What is Gustafsons Law? Amdahl's law is appropriate for applications where response time is significant. On the other hand there are numerous applications that necessitate
What are the features of PROM? They are programmed directly by the user. Faster Less expensive More Flexible
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