Complex-Valued Neural Networks: Theories and Applications: Series on Innovative Intelligence--Vol. 5
Editat de Akira Hiroseen Limba Engleză Hardback – 31 oct 2003
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (2) | 783.74 lei 39-44 zile | |
Springer Berlin, Heidelberg – 22 noi 2010 | 783.74 lei 39-44 zile | |
Springer Berlin, Heidelberg – 16 apr 2014 | 955.14 lei 6-8 săpt. | |
Hardback (1) | 825.00 lei 39-44 zile | |
Springer Berlin, Heidelberg – 23 mar 2012 | 825.00 lei 39-44 zile |
Preț: 1068.08 lei
Preț vechi: 1335.11 lei
-20% Nou
Puncte Express: 1602
Preț estimativ în valută:
204.39€ • 214.97$ • 170.78£
204.39€ • 214.97$ • 170.78£
Cartea se retipărește
Doresc să fiu notificat când acest titlu va fi disponibil:
Se trimite...
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9789812384645
ISBN-10: 9812384642
Pagini: 388
Dimensiuni: 155 x 234 x 25 mm
Greutate: 0.68 kg
Editura: World Scientific Publishing Company
Seria Series on Innovative Intelligence--Vol. 5
ISBN-10: 9812384642
Pagini: 388
Dimensiuni: 155 x 234 x 25 mm
Greutate: 0.68 kg
Editura: World Scientific Publishing Company
Seria Series on Innovative Intelligence--Vol. 5
Cuprins
Basic Ideas and Fundamentals: Why are complex-valued neural networks inevitable?.- Complex-valued neural networks fertilize electronics.- Neural networks: The characteristic viewpoints.- Complex-valued neural networks: Distinctive features.- Constructions and dynamics of neural networks.- Applications: How wide are the application fields?.- 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.
Textul de pe ultima copertă
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.
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.
Caracteristici
Latest research on Complex-valued Neural Networks 2nd enlarged and revised edition Written by a leading expert in the field