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.
Cite
CITATION STYLE
Moraga, C., & Salinas, L. (2001). 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) (Vol. 2084 LNCS, pp. 142–149). Springer Verlag. https://doi.org/10.1007/3-540-45720-8_17
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
