000 04077nam a22004575i 4500
001 978-3-642-27632-3
003 DE-He213
005 20140220083309.0
007 cr nn 008mamaa
008 120321s2012 gw | s |||| 0|eng d
020 _a9783642276323
_9978-3-642-27632-3
024 7 _a10.1007/978-3-642-27632-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aHirose, Akira.
_eauthor.
245 1 0 _aComplex-Valued Neural Networks
_h[electronic resource] /
_cby Akira Hirose.
250 _a2nd ed. 2012.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXVIII, 198 p. 75 illus.
_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 ;
_v400
505 0 _aComplex-valued neural networks fertilize electronics -- Neural networks: The characteristic viewpoints -- Complex-valued neural networks: Distinctive features -- Constructions and dynamics of neural networks -- Land-surface classification with unevenness and reflectance taken into consideration -- Adaptive radar system to visualize antipersonnel plastic landmines -- Removal of phase singular points to create digital elevation map -- Lightwave associative memory that memorizes and recalls information depending on optical-carrier frequency -- Adaptive optical-phase equalizer -- Developmental learning with behavioral-mode tuning by carrier-frequency modulation -- Pitch-asynchronous overlap-add waveform-concatenation speech synthesis by optimizing phase spectrum in frequency domain.
520 _aThis book is the second enlarged and revised edition of the first successful monograph on complex-valued neural networks (CVNNs) published in 2006, which lends itself to graduate and undergraduate courses in electrical engineering, informatics, control engineering, mechanics, robotics, bioengineering, and other relevant fields. In the second edition the recent trends in CVNNs research are included, resulting in e.g. almost a doubled number of references. The parametron invented in 1954 is also referred to with discussion on analogy and disparity. Also various additional arguments on the advantages of the complex-valued neural networks enhancing the difference to real-valued neural networks are given in various sections. The book is useful for those beginning their studies, for instance, in adaptive signal processing for highly functional sensing and imaging, control in unknown and changing environment, robotics inspired by human neural systems, and brain-like information processing, as well as interdisciplinary studies to realize comfortable society. It is also helpful to those who carry out research and development regarding new products and services at companies. The author wrote this book hoping in particular that it provides the readers with meaningful hints to make good use of neural networks in fully practical applications. The book emphasizes basic ideas and ways of thinking. Why do we need to consider neural networks that deal with complex numbers? What advantages do the complex-valued neural networks have? What is the origin of the advantages? In what areas do they develop principal applications? This book answers these questions by describing details and examples, which will inspire the readers with new ideas.    
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642276316
830 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v400
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-27632-3
912 _aZDB-2-ENG
999 _c102640
_d102640