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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.
How Race Around Condition can be avoided? Ans: The race around condition can be avoided if 1. Duration of clock pulse being high is small like comparative to the dela
what is Ambiguity in single inheritance
#questi on.. How it works explain
Random Search - artificial intelligence: Some problems to be solved by a search agent are more creative in nature, for example, like in writing poetry. In this case, it is oft
what isAdvantages of scan line algorithm, Computer Graphics?
Describe about the Digital cameras The microprocessor would be used to control the below functions, for instance: - shutter speed - lens focus - Flash - Aperture (l
Using ARQ, a sending modem must wait for a return ACK for each sent block before sending the next block. (A) discrete (B)
Q. Illustrate Associative Memory? The time required to find an item which is stored in memory can be decreased significantly if stored data can be identified for access by cont
Q. Major problems associated in writing with cache memories? The data in main and cache memory can be written by processors or I/O devices. The major problems associated in wri
Q. What is Status Control and Registers? Status Control and Registers: These registers can't be used by programmers though are used to control CPU or execution of a program.
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