Q. If a(i) is the input, ^ is the error, n is the learning parameter, then how can weight change in a perceptron model be represented?

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Q. What is adaline in neural networks?

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Q. Who invented the adaline neural model?

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Q. What was the main point of difference between the adaline and perceptron model?

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Q. In adaline model what is the relation between output and activation value(x)?

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Q. What is the another name of weight update rule in adaline model based on its functionality?

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Q. In neural how can connectons between different layers be achieved?

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Q. Connections across the layers in standard topologies and among the units within a layer can be organised?

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Q. What is an instar topology?

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Q. What is an outstar topology?

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Q. The operation of instar can be viewed as?

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Q. The operation of outstar can be viewed as?

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Q. If two layers coincide and weights are symmetric(wij=wji), then what is that structure called?

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Q. Heteroassociative memory can be an example of which type of network?

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Q. What is STM in neural network?

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Q. What does STM corresponds to?

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Q. What LTM corresponds to?

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Q. On what parameters can change in weight vector depend?

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Q. If the change in weight vector is represented by ∆wij, what does it mean?

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Q. What is learning signal in this equation ∆wij= µf(wi a)aj?

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