Q. What is the objective of associative memories?

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Q. Can Invariances be build as static functions in the structure?

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Q. What does the matching score at first layer in recognition hamming network is indicative of?

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Q. What does the activation value of winner unit is indicative of?

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Q. The competition in upper subnet of hamming network continues till?

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Q. What happens in upper subnet of the hamming network?

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Q. For what purpose, hamming network is suitable?

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Q. Which of the following is false?

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Q. What is true about single layer associative neural networks?

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Q. What are pros of neural networks over computers?

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Q. Which is the most direct application of neural networks?

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Q. Which application out of these of robots can be made of single layer feedforward network?

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Q. What does vigilance parameter in ART determines?

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Q. ART is made to tackle?

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Q. A greater value of ‘p’ the vigilance parameter leads to?

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Q. What type of inputs does ART – 1 receives?

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Q. What type learning is involved in ART?

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Q. What is the purpose of ART?

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Q. What does ART stand for?

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Q. The bidirectional associative memory is similar in principle to?

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