| http://www.w3.org/ns/prov#value | - where V-hat represents an estimate of first layer neural network weights, W-hat represents an estimate of second layer neural network weights, Sigma-hat represents an estimate of neural network hidden-layer output, Tau-tilde represents error in an estimate of an input to the mechanical system, xnn represents an input vector to the neural network, S and T are design weighting matrices, and k is a d
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