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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.
Explain Priority encoder with an example. Ans. Priority encoder- Basically an encoder is a combinational circuit which performs the inverse operation of a decoder. The inp
data associate to a class is called a ....?
Explain the Design Procedure for Flip Flop? The design procedure as follows. 1) Acquire the clear description of the desired flip flop X. 2) Acquire the present state- next
Take the following recurrence relation consider only for n = 2k for integers k ≥ 1: T(2) = 9, and for n ≥ 4, T(n) = n + T(n /2). Three students were working together in a stu
Advantages offered by Data Mining: 1. Facilitates discovery of knowledge from big, massive data sets. 2. Can be used within dissimilar application areas by Fraud detection
what is depth buffer algorithm?
Levels of parallel processing We could have parallel processing at four levels. i) Instruction Level: Most processors have numerous execution units and can execute numero
Purpose: Front line client service. Make bookings for vehicle servicing, accesses client database, prints invoices for clients etc. The mechanics complete worksheets for the variou
Virtual Manufacturing System Virtual manufacturing system or VMS is a synthetic, integrated manufacturing environment, developed by using information technology tools, exercise
What is insertion sort? Insertion Sort : One of the easiest sorting algorithms is the insertion sort. Insertion sort having of n - 1 passes. For pass p = 2 by n, insertion so
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