We present a general framework for association learning in self-organizing maps (SOMs), which can be specified for the utilization for supervised fuzzy ...
We present a general framework for association learning in self-organizing maps (SOMs), which can be specified for the utilization for supervised fuzzy ...
We present a general framework for association learning in self-organizing maps (SOMs), which can be specified for the utilization for supervised fuzzy ...
2.1 The Self-Organizing Map As mentioned above, SOMs can be taken as unsupervised learning of topographic vector quantization with a topological structure (grid) ...
Association Learning in SOMs for Fuzzy-Classification. Thomas Villmann, Frank ... The Sixth International Conference on Machine Learning and ...
Jan 1, 2001 · Self-organizing map (SOM) is naturally unsupervised learning, but ifa class label is known, it can be used as the classifier.
The fuzzy system encodes each linguistic association or "rule" in a numerical fuzzy associative memory. (FAM) mapping. The FAM then numerically processes.
We extend the self-organizing map (SOM) in the form as proposed by Heskes to a supervised fuzzy classification method. On the one hand, this leads to a ...
In the paper we investigate how to apply some data mining techniques for clustering and classification the assessment of the different publications and articles ...
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Oct 14, 2020 · In this article, we propose a method that can operate on nominal and numeric attributes to obtain fuzzy classification rules by combining a ...