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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.
sir, please give me an source code program for Hierarchial-Directory-system using any Unix/Linux
What are base tables of an aggregate object? The tables making up an aggregate object (primary and secondary) are known as aggregate object.
Traffic Intensity can be measured in (A) Erlangs (B) CCS (C) CM (D) All of the above Ans:
Describe in brief about The internet Web sites need to be set up to maximise information supplied to customers and to ensure they are as self-contained and helpful as possible.
Problem a) Distributed network architecture is whereby services are executed and distributed among various computers. Give two advantages and two disadvantages of the distrib
Describe the scheme of capability lists to implement protection? Capability lists (C- lists): These lists are utilized to make sure that uses only access files that are e
Explained RAID? Ans: High performance devices tend to be costly. So we can gain very high performance at a reasonable cost using a number of low-cost devices operating in paral
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
Signalling transfer point (STP) exist in (A) Strowger exchange (B) SS7 (C) Local area network (D) PABX Ans: STP that is stand f
What is a decoder? Draw the logic circuit of a 3 line to 8 line decoder and explain its working. Ans. Decoder: it is a combinational logic circuit which converts Binary words
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