Author : Rodríguez-Jiménez
Affiliation : Universidad de Málaga
Country : Spain
Category : Computer Science & Information Technology
Volume, Issue,
Month, Year
: 6, 1, November, 2016
Abstract
There
is an exhaustive study around the area of engine design that covers different
methods that try to reduce costs of production and to optimize the performance
of these engines. Mathematical methods based in statistics, self-organized maps
and neural networks reach the best results in these designs but there exists
the problem that configuration of these methods is not an easy work due the
high number of parameters that have to be measured. In this work we extend an
algorithm for computing implications between attributes with positive and
negative values for obtaining the mixed concepts lattice and also we propose a
theoretical method based in these results for engine simulators adjusting
specific and different elements for obtaining optimal engine configurations.
Keyword : Nowledge Discovery, Formal Concept Analysis,
Negative Attributes, Attribute Implications ,Engine Design
For More Details : https://airccj.org/CSCP/vol6/csit64815.pdf
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