000 | 03553nam a22005055i 4500 | ||
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001 | 978-3-319-05170-3 | ||
003 | DE-He213 | ||
005 | 20200421112229.0 | ||
007 | cr nn 008mamaa | ||
008 | 140326s2014 gw | s |||| 0|eng d | ||
020 |
_a9783319051703 _9978-3-319-05170-3 |
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024 | 7 |
_a10.1007/978-3-319-05170-3 _2doi |
|
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 |
245 | 1 | 0 |
_aRecent Advances on Hybrid Approaches for Designing Intelligent Systems _h[electronic resource] / _cedited by Oscar Castillo, Patricia Melin, Witold Pedrycz, Janusz Kacprzyk. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014. |
|
300 |
_aXII, 721 p. 355 illus. _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 ; _v547 |
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505 | 0 | _aPart I Type-2 Fuzzy Logic -- Part II Bio-Inspired Algorithms -- Part III Neural Networks -- Part IV Optimization Methods and Applications -- Part V Evolutionary and Intelligent Methods. | |
520 | _aThis book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aCastillo, Oscar. _eeditor. |
|
700 | 1 |
_aMelin, Patricia. _eeditor. |
|
700 | 1 |
_aPedrycz, Witold. _eeditor. |
|
700 | 1 |
_aKacprzyk, Janusz. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319051697 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v547 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-05170-3 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c57884 _d57884 |