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 ...
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 ...
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 ...