UMR CNRS 7253

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en:software:belief_nn

Evidential distance-based classifier (neural-network version)

A neural-network-like version of the above method. The training set is summarized in the form of prototypes with non-crisp labels. The network parameters (prototype locations and class labels) are learnt by optimizing an error function. The method is described in:

T. Denoeux. A neural network classifier based on Dempster-Shafer theory. IEEE transactions on Systems, Man and Cybernetics A, 30(2):131-150, 2000. pdf

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