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.
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.
