Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture
نویسندگان
چکیده
This paper incorporates robustness into neural network modeling and proposes a novel two-phase robustness analysis approach for determining the optimal feedforward neural network (FNN) architecture in terms of Hellinger distance of probability density function (PDF) of error distribution. The proposed approach is illustrated with an example in this paper.
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