000 | 03123nam a22005055i 4500 | ||
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001 | 978-3-642-35323-9 | ||
003 | DE-He213 | ||
005 | 20200420221247.0 | ||
007 | cr nn 008mamaa | ||
008 | 121214s2013 gw | s |||| 0|eng d | ||
020 |
_a9783642353239 _9978-3-642-35323-9 |
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024 | 7 |
_a10.1007/978-3-642-35323-9 _2doi |
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050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aSoft Computing Applications in Optimization, Control, and Recognition _h[electronic resource] / _cedited by Patricia Melin, Oscar Castillo. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2013. |
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300 |
_aVIII, 344 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 Fuzziness and Soft Computing, _x1434-9922 ; _v294 |
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505 | 0 | _aPart I Optimization Methods and Applications -- Part II Soft Computing in Intelligent Control Applications -- Part III Soft Computing in Pattern Recognition Applications -- Part IV Soft Computing: Theory and new Models. | |
520 | _aSoft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts. The first part deals with nature-inspired optimization methods and their applications. Papers included in this part propose new models for achieving intelligent optimization in different application areas. The second part discusses hybrid intelligent systems for achieving control. Papers included in this part make use of nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for the optimal design of intelligent controllers for different kind of applications. Papers in the third part focus on intelligent techniques for pattern recognition and propose new methods to solve complex pattern recognition problems. The fourth part discusses new theoretical concepts and methods for the application of soft computing to many different areas, such as natural language processing, clustering and optimization. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aPattern recognition. | |
650 | 0 | _aComputational intelligence. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aPattern Recognition. |
700 | 1 |
_aMelin, Patricia. _eeditor. |
|
700 | 1 |
_aCastillo, Oscar. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642353222 |
830 | 0 |
_aStudies in Fuzziness and Soft Computing, _x1434-9922 ; _v294 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-35323-9 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c52391 _d52391 |