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| 001 | 978-3-319-71008-2 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 180110s2018 sz | s |||| 0|eng d | ||
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_a9783319710082 _9978-3-319-71008-2 |
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_a10.1007/978-3-319-71008-2 _2doi |
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_aFuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications _h[electronic resource] / _cedited by Oscar Castillo, Patricia Melin, Janusz Kacprzyk. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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| 300 |
_aXI, 546 p. 239 illus., 173 illus. in color. _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, _x1860-9503 ; _v749 |
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| 505 | 0 | _aPart I: Type-2 Fuzzy Logic in Metaheuristics -- A comparative study of dynamic adaptation of parameters in the GWO algorithm using type-1 and interval type-2 fuzzy logic -- Ensemble Neural Network optimization using a gravitational search algorithm with Interval Type-1 and Type-2 fuzzy parameter adaptation in pattern recognition applications -- Improved method based on type-2 fuzzy logic for the adaptive harmony search algorithm -- Comparison of bio-inspired methods with parameter adaptation through interval type-2 fuzzy logic -- Differential Evolution algorithm with Interval type-2 fuzzy logic for the optimization of the mutation parameter -- Part II: Neural Networks Theory and Applications -- Person recognition with modular deep neural network using the iris biometric measure -- Neuro-evolutionary Neural Network for the Estimation of Melting Point of Ionic Liquids -- A proposal to classify ways of walking patterns using spik-ing neural networks -- Partially-connected Artificial Neural Networks developed by Grammatical Evolution for pattern recognition problems -- Part III: Metaheuristics: Theory and Applications -- Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers. | |
| 520 | _aThis book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts, each with a collection of papers on a similar subject. The first part presents new concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory and applications, and includes papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The third part addresses the theory and practice of meta-heuristics in different areas of application, while the fourth part describes diverse fuzzy logic applications in the control area, which can be considered as intelligent controllers. The next two parts explore applications in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications respectively. Lastly, the seventh part addresses the design and application of different hybrid intelligent systems. | ||
| 650 | 0 |
_aComputational intelligence. _97716 |
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| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 1 | 4 |
_aComputational Intelligence. _97716 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
| 700 | 1 |
_aCastillo, Oscar. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _952992 |
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| 700 | 1 |
_aMelin, Patricia. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _952993 |
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| 700 | 1 |
_aKacprzyk, Janusz. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _952994 |
|
| 710 | 2 |
_aSpringerLink (Online service) _952995 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319710075 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319710099 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319890289 |
| 830 | 0 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v749 _952996 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-71008-2 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
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