An important consideration when applying neural networks is the sensitivity
to weights and threshold in strict separating systems representing a
linearly separable function. Two parameters have been introduced to measure
the relative errors in weights and threshold of strict separating systems:
the tolerance and the greatest tolerance. Given an arbitrary separating system
we study which is the equivalent separating system that provides maximum
tolerance or/and maximum greatest tolerance.
CitationFreixas, J.; Molinero, X. "Maximum tolerance and maximum greatest tolerance". 2009.
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