000 | 04223nam a22005295i 4500 | ||
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001 | 978-3-540-36122-0 | ||
003 | DE-He213 | ||
005 | 20161121231158.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2007 gw | s |||| 0|eng d | ||
020 |
_a9783540361220 _9978-3-540-36122-0 |
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024 | 7 |
_a10.1007/978-3-540-36122-0 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTJ210.2-211.495 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aTJFM1 _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aTrends in Neural Computation _h[electronic resource] / _cedited by Ke Chen, Lipo Wang. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007. |
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300 |
_aX, 512 p. 159 illus., 18 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 |
||
490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v35 |
|
505 | 0 | _aHyperbolic Function Networks for Pattern Classification -- Variable Selection for the Linear Support Vector Machine -- Selecting Data for Fast Support Vector Machines Training -- Universal Approach to Study Delayed Dynamical Systems -- A Hippocampus-Neocortex Model for Chaotic Association -- Latent Attractors: A General Paradigm for Context-Dependent Neural Computation -- Learning Mechanisms in Networks of Spiking Neurons -- GTSOM: Game Theoretic Self-organizing Maps -- How to Generate Different Neural Networks -- A Gradient-Based Forward Greedy Algorithm for Space Gaussian Process Regression -- An Evolved Recurrent Neural Network and Its Application -- A Min-Max Modular Network with Gaussian-Zero-Crossing Function -- Combining Competitive Learning Networks of Various Representations for Sequential Data Clustering -- Modular Neural Networks and Their Applications in Biometrics -- Performance Analysis of Dynamic Cell Structures -- Short Term Electric Load Forecasting: A Tutorial -- Performance Improvement for Formation-Keeping Control Using a Neural Network HJI Approach -- A Robust Blind Neural Equalizer Based on Higher-Order Cumulants -- The Artificial Neural Network Applied to Servo Control System -- Robot Localization Using Vision. | |
520 | _aNowadays neural computation has become an interdisciplinary field in its own right; researches have been conducted ranging from diverse disciplines, e.g. computational neuroscience and cognitive science, mathematics, physics, computer science, and other engineering disciplines. From different perspectives, neural computation provides an alternative methodology to understand brain functions and cognitive process and to solve challenging real-world problems effectively. Trend in Neural Computation includes twenty chapters either contributed from leading experts or formed by extending well selected papers presented in the 2005 International Conference on Natural Computation. The edited book aims to reflect the latest progresses made in different areas of neural computation, including theoretical neural computation, biologically plausible neural modeling, computational cognitive science, artificial neural networks – architectures and learning algorithms and their applications in real-world problems. Researchers, graduate students and industrial practitioners in the broad areas of neural computation would benefit from the state-of-the-art work collected in this book. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputers. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aApplied mathematics. | |
650 | 0 | _aEngineering mathematics. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aTheory of Computation. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
700 | 1 |
_aChen, Ke. _eeditor. |
|
700 | 1 |
_aWang, Lipo. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540361213 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v35 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-540-36122-0 |
912 | _aZDB-2-ENG | ||
950 | _aEngineering (Springer-11647) | ||
999 |
_c509723 _d509723 |