| 000 | 03128nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-02535-8 | ||
| 003 | DE-He213 | ||
| 005 | 20140220084523.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2010 gw | s |||| 0|eng d | ||
| 020 |
_a9783642025358 _9978-3-642-02535-8 |
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| 024 | 7 |
_a10.1007/978-3-642-02535-8 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTJ210.2-211.495 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aTJFM1 _2bicssc |
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| 072 | 7 |
_aCOM004000 _2bisacsh |
|
| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aKussul, Ernst. _eauthor. |
|
| 245 | 1 | 0 |
_aNeural Networks and Micromechanics _h[electronic resource] / _cby Ernst Kussul, Tatiana Baidyk, Donald C. Wunsch. |
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010. |
|
| 300 |
_ax, 222 p. 128 illus. _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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| 505 | 0 | _aClassical Neural Networks -- Neural Classifiers -- Permutation Coding Technique for Image Recognition System -- Associative-Projective Neural Networks (APNNs) -- Recognition of Textures, Object Shapes, and Handwritten Words -- Hardware for Neural Networks -- Micromechanics -- Applications of Neural Networks in Micromechanics -- Texture Recognition in Micromechanics -- Adaptive Algorithms Based on Technical Vision. | |
| 520 | _aThis is an interdisciplinary field of research involving the use of neural network techniques for image recognition applied to tasks in the area of micromechanics. The book is organized into chapters on classic neural networks and novel neural classifiers; recognition of textures and object forms; micromechanics; and adaptive algorithms with neural and image recognition applications. The authors include theoretical analysis of the proposed approach, they describe their machine tool prototypes in detail, and they present results from experiments involving microassembly, and handwriting and face recognition. This book will benefit scientists, researchers and students working in artificial intelligence, particularly in the fields of image recognition and neural networks, and practitioners in the area of microengineering. | ||
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aComputer vision. | |
| 650 | 0 | _aOptical pattern recognition. | |
| 650 | 0 | _aMachinery. | |
| 650 | 0 | _aElectronics. | |
| 650 | 1 | 4 | _aComputer Science. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 650 | 2 | 4 | _aManufacturing, Machines, Tools. |
| 650 | 2 | 4 | _aImage Processing and Computer Vision. |
| 650 | 2 | 4 | _aPattern Recognition. |
| 650 | 2 | 4 | _aControl, Robotics, Mechatronics. |
| 650 | 2 | 4 | _aElectronics and Microelectronics, Instrumentation. |
| 700 | 1 |
_aBaidyk, Tatiana. _eauthor. |
|
| 700 | 1 |
_aWunsch, Donald C. _eauthor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783642025341 |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-02535-8 |
| 912 | _aZDB-2-SCS | ||
| 999 |
_c111418 _d111418 |
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