000 | 03290nam a22004695i 4500 | ||
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001 | 978-3-642-24139-0 | ||
003 | DE-He213 | ||
005 | 20140220083303.0 | ||
007 | cr nn 008mamaa | ||
008 | 111024s2012 gw | s |||| 0|eng d | ||
020 |
_a9783642241390 _9978-3-642-24139-0 |
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024 | 7 |
_a10.1007/978-3-642-24139-0 _2doi |
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050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aCOM004000 _2bisacsh |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aMelin, Patricia. _eauthor. |
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245 | 1 | 0 |
_aModular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition _h[electronic resource] / _cby Patricia Melin. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2012. |
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300 |
_aX, 214 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v389 |
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505 | 0 | _aPart I: Basic Concepts and Theory -- Part II Modular Neural Networks in Pattern Recognition -- Part III Optimization of Modular Neural Networks for Pattern Recognition. | |
520 | _aThis book describes hybrid intelligent systems using type-2 fuzzy logic and modular neural networks for pattern recognition applications. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful pattern recognition systems. Type-2 fuzzy logic is an extension of traditional type-1 fuzzy logic that enables managing higher levels of uncertainty in complex real world problems, which are of particular importance in the area of pattern recognition. The book is organized in three main parts, each containing a group of chapters built around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which are the basis for achieving intelligent pattern recognition. The second part contains chapters with the main theme of using type-2 fuzzy models and modular neural networks with the aim of designing intelligent systems for complex pattern recognition problems, including iris, ear, face and voice recognition. The third part contains chapters with the theme of evolutionary optimization of type-2 fuzzy systems and modular neural networks in the area of intelligent pattern recognition, which includes the application of genetic algorithms for obtaining optimal type-2 fuzzy integration systems and ideal neural network architectures for solving problems in this area. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aOptical pattern recognition. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aPattern Recognition. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642241383 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v389 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-24139-0 |
912 | _aZDB-2-ENG | ||
999 |
_c102262 _d102262 |