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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.
Q. Addition of array elements using two processors? In this example we have to find sum of all elements of an array A of size n. We will divide n elements in 2 groups of roughl
Modular programming denotes to the practice of writing a program as a sequence of independently assembled source files. Every source file is a modular program intended to be assemb
Data Stream and Instruction Stream The term 'stream' refers to an order or flow of either data operated or instructions on by the computer. In the complete chain of instructi
Design a 32:1 multiplexer using two 16:1 multiplexers and a 2:1 multiplexer Ans. Design a 32 X 1 MUX by using two 16 X 1 MUX and one 2 X 1. Now here total 32 input lines
Explain about the Prepurchase Interaction activity. Prepurchase Interaction: This interaction for consumers comprises three activities: • Product or service search and di
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Explian Service Topologies Service Topologies In a service-based architecture there increase dependencies between services resulting from cooperation
what are the feasibility study of online result management system?
how to write mathematical model for circular linked list
Avoiding Local Minima of multi-layered networks-Artificial intelligence : The error rate of multi-layered networks over a training set could be calculated as the number of mis
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