Now showing items 1-3 of 3
Using genetic algorithms to improve support vector regression in the analysis of atomic spectra of lubricant oils
[Abstract] Purpose – The purpose of this paper is to assess the quality of commercial lubricant oils. A spectroscopic method was used in combination with multivariate regression techniques (ordinary multivariate ...
A genetic algorithms-based approach for optimizing similarity aggregation in ontology matching
[Abstract] Ontology matching consists of finding the semantic relations between different ontologies and is widely recognized as an essential process to achieve an adequate interoperability between people, systems or ...
Artificial neuron–glia networks learning approach based on cooperative coevolution
(World Scientific, 2015-04-06)
[Abstract] Artificial Neuron–Glia Networks (ANGNs) are a novel bio-inspired machine learning approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent findings and suppositions about the way ...