There are straightforward analogies between electrical, mechanical, acoustics, thermal, hydraulic and fluid systems which are intuitive and useful. Sometimes, we use them as we teach mechanical, thermal and fluid systems. Is it possible to build a neural network using analogs? For example, resistors acn be analogous to the weights of a neural network, etc.

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