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007 cr nn 008maaau
008 101230s2010 gw s j eng d
020 _a9783642025327 (electronic bk.)
020 _a9783642025310 (paper)
035 _a(Springer)978-3-642-02531-0
039 9 _y12-30-2010
_zmuhaimin
050 0 4 _aQA76.87
_b.S46 2010
082 0 4 _a004
_222
090 _aQA76.87
_b.S478 2010
245 0 0 _aSensitivity analysis for neural networks
_h[electronic resource] /
_cby Daniel S. Yeung ... [et al.].
260 _aBerlin, Heidelberg :
_bSpringer-Verlag Berlin Heidelberg,
_c2010.
300 _aviii, 86 p. :
_bill., digital ;
_c24 cm.
440 0 _aNatural computing series,
_x1619-7127
650 0 _aNeural networks (Computer science)
_960531
650 0 _aSensitivity theory (Mathematics)
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics)
650 2 4 _aControl, Robotics, Mechatronics.
650 2 4 _aStatistical Physics, Dynamical Systems and Complexity.
650 2 4 _aPattern Recognition.
650 2 4 _aSimulation and Modeling.
650 2 4 _aEngineering Design.
700 1 _aYeung, Daniel S.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
856 4 0 _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=http://dx.doi.org/10.1007/978-3-642-02532-7
907 _a.b1489404x
_b2023-11-29
_c2019-11-12
942 _n0
_kQA76.87 .S478 2010
914 _avtls003451128
998 _ae0001
_b2010-04-12
_cm
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_ggw
_y0
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999 _c475964
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