Scaling properties of neural classifiers


One of the problems in evaluating the usefulness of various classification techniques for real-world applications is the lack of information about their scaling properties: how will the complexity of a given method depend on the number of attributes, classes and cases? In this paper a simple classification task is presented as a challenge for different methods, allowing to determine their scaling properties as well as to evaluate the complexity of the solutions obtained by various methods.

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@inproceedings{Duch1997ScalingPO, title={Scaling properties of neural classifiers}, author={Włodzisław Duch}, year={1997} }