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By using only linear processing units in output layer, can a artificial neural network capture association if input patterns is greater then dimensionality of input vectors?

By using only linear processing units in output layer, can a artificial neural network capture association if input patterns is greater then dimensionality of input vectors? Correct Answer no

There is need of non linear processing units.

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Can a artificial neural network capture association if input patterns is greater then dimensionality of input vectors?
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Signal Processing mcq question image
Where h(t) is shown in the graph
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