000 | 02981nam a2200337Ii 4500 | ||
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001 | 9781351076210 | ||
008 | 180611t20182000flu b ob 001 0 eng d | ||
020 | _a9781351076210 | ||
035 | _a(OCoLC)1035748960 | ||
040 |
_aFlBoTFG _cFlBoTFG _erda |
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050 | 4 | _aQA76.87 | |
072 | 7 |
_aCOM _x051240 _2bisacsh |
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072 | 7 |
_aTJF _2bicscc |
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082 | 0 | 4 |
_a006.3/2 _223 |
100 | 1 |
_aJain, L. C., _eauthor. _914598 |
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245 | 1 | 0 |
_aRecent advances in artificial neural networks / _cby L. C. Jain. |
264 | 1 |
_aBoca Raton, FL : _bCRC Press, an imprint of Taylor and Francis, _c[2018]. |
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264 | 4 | _c©2000. | |
300 | _a1 online resource (372 pages) | ||
336 |
_atext _2rdacontent |
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_acomputer _2rdamedia |
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_aonline resource _2rdacarrier |
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505 | 0 | 0 |
_tchapter 1 A neuro-symbolic hybrid intelligent architecture with applications -- _tchapter 2 New radial basis neural networks and their application in a large-scale handwritten digit recognition problem / _rN.B. Karayiannis and S. Behnke -- _tchapter 3 Efficient neural network-based methodology for the design of multiple classifiers -- _tchapter 4 Learning fine motion in robotics: design and experiments / _rC. Versino and L.M. Gambardella -- _tchapter 5 Introduction -- _tchapter 6 Lateral priming adaptive resonance theory (LAPART)-2: innovation in ART / _rT.P. Caudell and M.J. Healy -- _tchapter 7 Introduction / _rH.A. Aboulenien and P. De Wilde -- _tchapter 8 Introduction / _rU. Halici -- _tchapter 9 Monitoring internal combustion engines by neural network based virtual sensing / _rR.J. Howlett, M.M. de Zoysa, and S.D. Walters -- _tchapter 10 Neural architectures of fuzzy Petri nets. |
520 | 3 | _aNeural networks represent a new generation of information processing paradigms designed to mimic-in a very limited sense-the human brain. They can learn, recall, and generalize from training data, and with their potential applications limited only by the imaginations of scientists and engineers, they are commanding tremendous popularity and research interest. Over the last four decades, researchers have reported a number of neural network paradigms, however, the newest of these have not appeared in book form-until now. Recent Advances in Artificial Neural Networks collects the latest neural network paradigms and reports on their promising new applications. World-renowned experts discuss the use of neural networks in pattern recognition, color induction, classification, cluster detection, and more. Application engineers, scientists, and research students from all disciplines with an interest in considering neural networks for solving real-world problems will find this collection useful. | |
650 | 0 |
_aNeural networks (Computer science) _93414 |
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650 | 7 |
_aCOMPUTERS / General. _2bisacsh _95150 |
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710 | 2 |
_aTaylor and Francis. _910719 |
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776 | 0 | 8 |
_iPrint version: _z9781315897110 |
856 | 4 | 0 |
_uhttps://www.taylorfrancis.com/books/9781351076210 _zClick here to view. |
942 | _cEBK | ||
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_c70740 _d70740 |