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| 001 | 978-3-031-69769-2 | ||
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| 005 | 20251030114627.0 | ||
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_a10.1007/978-3-031-69769-2 _2doi |
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_aInnovative Applications of Artificial Neural Networks to Data Analytics and Signal Processing _h[electronic resource] / _cedited by Gilberto Rivera, Witold Pedrycz, Juan Moreno-Garcia, J. Patricia Sánchez-Solís. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
| 300 |
_aIX, 561 p. 229 illus., 164 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 ; _v1221 |
|
| 505 | 0 | _aForecasting and Prediction -- On the minimum error using Kolmogorov size shallow neural network and Gradient Descent algorithms for complicated univariate functions -- A Review on the Classification of Body Movement Time Series to Support Clinical Decision-making -- FMarkNet Forecasting model based on Neural networks and the Markowitz Model. | |
| 520 | _aThis book deals with the application of ANNs in real-world problems requiring data analysis and signal processing. Artificial neural networks (ANNs) have emerged in society thanks to the large number of applications that have been used in an awe-inspiring way. These networks offer effective solutions to practical, real-world problems. The wide variety of application fields of the studies in the book is remarkable; these are related to sensorization, agriculture, healthcare, air pollution, video games, and cybersecurity, among others. To organize this variety, the chapters have been grouped into three sections related to: (1) Forecasting and Prediction, (2) Knowledge Discovery and Knowledge Management, and (3) Signal Processing. This book aims to reach readers interested in ANNs and their applications in different fields, so it is interesting not only for computer science but also for other related disciplines. | ||
| 650 | 0 |
_aComputational intelligence. _964052 |
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| 650 | 0 |
_aEngineering _xData processing. |
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| 650 | 0 |
_aArtificial intelligence. _958441 |
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| 650 | 1 | 4 |
_aComputational Intelligence. _964052 |
| 650 | 2 | 4 |
_aData Engineering. _966059 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _958441 |
| 700 | 1 |
_aRivera, Gilberto. _eeditor. _0(orcid)0000-0002-2365-4651 _1https://orcid.org/0000-0002-2365-4651 _4edt _4http://id.loc.gov/vocabulary/relators/edt _984615 |
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| 700 | 1 |
_aPedrycz, Witold. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _970097 |
|
| 700 | 1 |
_aMoreno-Garcia, Juan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _989174 |
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| 700 | 1 |
_aSánchez-Solís, J. Patricia. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _989175 |
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| 773 | 0 | _tSpringer Nature eBook | |
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_iPrinted edition: _z9783031697685 |
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_iPrinted edition: _z9783031697708 |
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_iPrinted edition: _z9783031697715 |
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_aStudies in Computational Intelligence, _x1860-9503 ; _v1221 _968854 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-69769-2 |
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