| 000 | 02928nam a22003495i 4500 | ||
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| 001 | 103038 | ||
| 003 | DE-He213 | ||
| 005 | 20240111050144.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 180207s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319737737 | ||
| 024 | 7 |
_a10.1007/978-3-319-73773-7 _2doi |
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| 040 |
_aES-MaUEC _bspa |
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| 050 | _aQA76.87 2018 EB | ||
| 100 | 1 |
_aAmezcua, Jonathan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aNew Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic _cby Jonathan Amezcua, Patricia Melin, Oscar Castillo. |
| 264 | 1 |
_aCham _bSpringer International Publishing _c2018 |
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| 300 | _a1 recurso en línea (VIII, 73 páginas 22 ilustraciones, 12 ilustraciones a color) | ||
| 347 |
_atext file _bPDF |
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| 490 | 0 |
_aSpringerBriefs in Computational Intelligence _x2625-3704 |
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| 520 | 3 | _aIn 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 architectures, having the classes with the highest degree of similarity in different modules. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil. Both datasets show interesting features that makes them interesting for testing new classification methods. . | |
| 650 | 7 |
_aInteligencia artificial _2embne _9413115 |
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| 650 | 7 |
_aRedes neuronales artificiales _2embne _9678664 |
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| 700 | 1 |
_aMelin, Patricia _d1962- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/85213429/ _997926 |
|
| 700 | 1 |
_aCastillo, Oscar _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n79011941 _1http://viaf.org/viaf/120712882/ _1http://dbpedia.org/resource/Pali_Blues_(PDL)__Oscar_Castillo__1 _937054 |
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| 776 | 0 | 8 |
_iEdición impresa: _z9783319737720 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319737744 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-73773-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 490 | 0 | _aEngineering (Springer-11647) | |
| 988 | _aEBSPRINGER_2018 | ||
| 998 |
_b03/2019 _dz _ek _feng _ggw _h0 |
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| 999 |
_c103038 _d103038 _x1 |
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