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008 150903s2012 gw | o |||| 0|eng d
020 _a9783642276323
_99783642276323
024 7 _a10.1007/9783642276323
_2doi
035 _avtls000358563
039 9 _a201509031015
_bVLOAD
_c201405070233
_dVLOAD
_y201402191524
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ342
100 1 _aHirose, Akira.
_eautor
_9330891
245 1 0 _aComplex-Valued Neural Networks /
_cby Akira Hirose.
250 _a2nd ed. 2012.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _axviii, 198 páginas 75 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aStudies in Computational Intelligence,
_x1860-949X ;
_v400
500 _aSpringer eBooks
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.    
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783642276316
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-27632-3
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c305944
_d305944