New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a modular LVQ architecture to further improve its performance on complex classification problems. It also implements a data-similarity process for preprocessing the datasets, in order to build dynamic a…
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Produktdetails
Weitere Autoren: Melin, Patricia / Amezcua, Jonathan
- ISBN: 978-3-319-73773-7
- EAN: 9783319737737
- Produktnummer: 25822439
- Verlag: Springer
- Sprache: Englisch
- Erscheinungsjahr: 2018
- Plattform: PDF
- Masse: 2'216 KB
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