Interpreting neural networks in the frame of the logic of lukasiewicz. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 2084 LNCS, pages 142-149, 2001. abstract bibtex Neural networks using a piecewise linear ramp-step activation function may be interpreted as expressions in the propositional logic of Kleene-Lukasiewicz. These expressions even though information preserving may have a high degree of complexity impairing their understandability. The paper discloses a strategy which combines classical logic with the logic of Lukasiewicz to decompose a complex rule into a set of simpler rules that cover the former. © Springer-Verlag Berlin Heidelberg 2001.
@inproceedings{84902200657,
abstract = "Neural networks using a piecewise linear ramp-step activation function may be interpreted as expressions in the propositional logic of Kleene-Lukasiewicz. These expressions even though information preserving may have a high degree of complexity impairing their understandability. The paper discloses a strategy which combines classical logic with the logic of Lukasiewicz to decompose a complex rule into a set of simpler rules that cover the former. © Springer-Verlag Berlin Heidelberg 2001.",
number = "PART 1",
year = "2001",
title = "Interpreting neural networks in the frame of the logic of lukasiewicz",
volume = "2084 LNCS",
pages = "142-149",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)"
}
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