000 | 03023nam a22005775i 4500 | ||
---|---|---|---|
001 | 978-3-540-37418-3 | ||
003 | DE-He213 | ||
005 | 20161121231159.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2007 gw | s |||| 0|eng d | ||
020 |
_a9783540374183 _9978-3-540-37418-3 |
||
024 | 7 |
_a10.1007/978-3-540-37418-3 _2doi |
|
050 | 4 | _aTA329-348 | |
050 | 4 | _aTA640-643 | |
072 | 7 |
_aTBJ _2bicssc |
|
072 | 7 |
_aMAT003000 _2bisacsh |
|
082 | 0 | 4 |
_a519 _223 |
100 | 1 |
_aKhare, Mukesh. _eauthor. |
|
245 | 1 | 0 |
_aArtificial Neural Networks in Vehicular Pollution Modelling _h[electronic resource] / _cby Mukesh Khare, S. M. Shiva Nagendra. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007. |
|
300 |
_aXVI, 242 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v41 |
|
505 | 0 | _aVehicular Pollution -- Artificial Neutral Networks -- Vehicular Pollution Modelling–Conventional Aproach -- Vehicular Pollution Modelling -ANN Aproach -- Aplication of ANN based Vehicular Pollution Models -- Epilogue. | |
520 | _aArtificial neural networks (ANNs), which are parallel computational models, comprising of interconnected adaptive processing units (neurons) have the capability to predict accurately the dispersive behavior of vehicular pollutants under complex environmental conditions. This book aims at describing step-by-step procedure for formulation and development of ANN based VP models considering meteorological and traffic parameters. The model predictions are compared with existing line source deterministic/statistical based models to establish the efficacy of the ANN technique in explaining frequent dispersion complexities in urban areas. The book is very useful for hardcore professionals and researchers working in problems associated with urban air pollution management and control. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aApplied mathematics. | |
650 | 0 | _aEngineering mathematics. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aAutomotive engineering. | |
650 | 0 | _aAir pollution. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aAutomotive Engineering. |
650 | 2 | 4 | _aAtmospheric Protection/Air Quality Control/Air Pollution. |
650 | 2 | 4 | _aApplications of Mathematics. |
650 | 2 | 4 | _aComputational Intelligence. |
700 | 1 |
_aNagendra, S. M. Shiva. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540374176 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v41 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-540-37418-3 |
912 | _aZDB-2-ENG | ||
950 | _aEngineering (Springer-11647) | ||
999 |
_c509738 _d509738 |