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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.
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Write a CGI program that keeps a list of computers that have contacted the server. If comp1 is contacting first time it will display the message: "This is the first contact fr
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Multi-Layer Network Architectures - Artificial intelligence: Perceptrons have restricted scope in the type of concepts they may learn - they may just learn linearly separable f
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