Abstract
A method for computing the network output sensitivities with respect to variations in the inputsfor multilayer feedforward artificial neural networks with differentiable activation functionsis presented. It is applied to obtain expressions for the first and second order sensitivities. Anexample is introduced along with a discussion to illustrate how the sensitivities are calculatedand to show how they compare to the actual derivatives of the function being modeled by theneural network.1...

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