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| 003 | ES-MaUEC | ||
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| 008 | 220402s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783030903435 | ||
| 024 | 7 |
_a10.1007/978-3-030-90343-5 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQA76.9.A43 _b2022 EB |
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| 100 | 1 |
_aKhandelwal, Dhruv _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9683367 |
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| 245 | 1 | 0 |
_aAutomating Data-Driven Modelling of Dynamical Systems : _bAn Evolutionary Computation Approach _cby Dhruv Khandelwal |
| 250 | _aFirst edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XXIII, 229 páginas) _b74 ilustraciones, 49 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aSpringer Theses Recognizing Outstanding Ph.D. Research _x2190-5061 |
|
| 505 | 0 | _aIntroduction -- The State-of-the-art -- Preliminaries - Evolutionary Algorithms -- Tree Adjoining Grammar -- Performance measures. | |
| 520 | _aThis book describes a user-friendly, evolutionary algorithms-based framework for estimating data-driven models for a wide class of dynamical systems, including linear and nonlinear ones. The methodology addresses the problem of automating the process of estimating data-driven models from a user's perspective. By combining elementary building blocks, it learns the dynamic relations governing the system from data, giving model estimates with various trade-offs, e.g. between complexity and accuracy. The evaluation of the method on a set of academic, benchmark and real-word problems is reported in detail. Overall, the book offers a state-of-the-art review on the problem of nonlinear model estimation and automated model selection for dynamical systems, reporting on a significant scientific advance that will pave the way to increasing automation in system identification. | ||
| 988 | _aSpringer_Robotics_2022 | ||
| 650 | 7 |
_2embne _9141162 _aAlgoritmos |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783030903428 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030903442 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030903459 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-90343-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_b04/2022 _dz _eIG _zSI |
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