Complex-Valued Neural Networks

This 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, bioengineerin...

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Detalles Bibliográficos
Autor Principal: Hirose, Akira, 1941-
Formato: Livre numérique
Idioma:Anglais
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edición:2nd ed. 2012.
Series:Studies in Computational Intelligence 400
Acceso en liña:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Complex-valued neural networks, Akira Hirose, 2nd ed., Heidelberg, Springer, 2012, 1 vol (XVII-197 p.), Studies in computational intelligence, 978-3-642-27631-6
• Complex-valued neural networks, Akira Hirose, 2nd ed., Heidelberg, Springer, 2012, 1 vol (XVII-197 p.), Studies in computational intelligence, 978-3-642-27631-6
• Complex-Valued Neural Networks, Texte imprimé, 9783642276330
• Complex-Valued Neural Networks, Texte imprimé, 9783642435799
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505 1 |a Complex-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 
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520 |a This 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.    
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