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» Learning to Map Ontologies with Neural Network
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TNN
2008
143views more  TNN 2008»
13 years 7 months ago
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada,...
ICANN
2010
Springer
13 years 5 months ago
Learning in a Unitary Coherent Hippocampus
Abstract. A previous paper [2] presented a model (UCPF-HC) of the hippocampus as a unitary coherent particle filter, which combines the classical hippocampal roles of associative m...
Charles W. Fox, Tony J. Prescott
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 18 days ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
SEMWEB
2007
Springer
14 years 1 months ago
X-SOM Results for OAEI 2007
This paper summarizes the results of the X-SOM tool in the OAEI 2007 campaign. X-SOM is an extensible ontology mapper that combines various matching algorithms by means of a feed-f...
Carlo Curino, Giorgio Orsi, Letizia Tanca
ICANN
2003
Springer
14 years 18 days ago
Self-Organizing Operator Maps in Complex System Analysis
Abstract. The growth in amount of data available today has encouraged the development of effective data analysis methods to support human decision-making. Neuro-fuzzy computation ...
Pasi Lehtimäki, Kimmo Raivio, Olli Simula