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ICNC
2005
Springer

Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture

9 years 1 months ago
Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture
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.
Lean Yu, Kin Keung Lai, Shouyang Wang
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICNC
Authors Lean Yu, Kin Keung Lai, Shouyang Wang
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