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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Q. State whether Hebb’s law is supervised learning or of unsupervised type?

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Q. Hebb’s law can be represented by equation?

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Q. State which of the following statements hold foe perceptron learning law?

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Q. Delta learning is of unsupervised type?

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Q. Widrow and hoff learning law is special case of?

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Q. What’s the other name of widrow and hoff learning law?

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