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| 001 | 102408 | ||
| 003 | DE-He213 | ||
| 005 | 20230102113040.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171028s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319674667 | ||
| 024 | 7 |
_a10.1007/978-3-319-67466-7 _2doi |
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| 040 |
_bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aQP363.3 _bK436 2018 EB |
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| 100 | 1 |
_aKhan, Gul Muhammad. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n97940003 _1http://viaf.org/viaf/31126425/ |
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| 245 | 1 | 0 |
_aEvolution of Artificial Neural Development _bIn search of learning genes _cby Gul Muhammad Khan. |
| 264 | 1 |
_aCham _bSpringer International Publishing _c2018 |
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| 300 | _a1 recurso en línea (XIII, 139 páginas 55 ilustraciones, 28 ilustraciones a color.) | ||
| 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 |
_atext file _bPDF |
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| 490 | 0 |
_aStudies in Computational Intelligence, _x1860-949X _v725 |
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| 490 | 0 | _aEngineering (Springer-11647) | |
| 505 | 0 | _aMaking the Computer 'Brained' -- The Biology of Brain:An insight into the Human Brain -- Evolutionary Computation -- Artificial Neural Network (ANNs) -- Structure and Operation of Cartesian Genetic Programming Developmental Network (CGPDN) Model -- Wumpus World -- Checkers -- Concluding Remarks and Future Directions. | |
| 520 | 3 | _aThis book presents recent research on the evolution of artificial neural development, and searches for learning genes. It is fascinating to see how all biological cells share virtually the same traits, but humans have a decided edge over other species when it comes to intelligence. Although DNA decides the form each particular species takes, does it also account for intelligent behaviour in living beings? The authors explore the factors that are perceived as intelligent behaviour in living beings and the incorporation of these factors in machines using genetic programming, which ultimately provides a platform for exploring the possibility of machines that can learn by themselves, i.e. that can "learn how to learn". The book will be of interest not only to the specialized scientific community pursuing machine intelligence, but also general readers who would like to know more about the incorporation of intelligent behaviour in machines, inspired by the human brain. | |
| 988 | _aEBSPRINGER_2018 | ||
| 650 | 7 |
_2embne _9678664 _aRedes neuronales artificiales |
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| 776 | 0 | 8 |
_iEdición impresa: _z9783319674643 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319674650 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319884356 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-67466-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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