This monograph instructs graduate- and undergraduate-level students in electrical engineering, informatics, control engineering, mechanics, robotics, bioengineering on the concepts of complex-valued neural networks. Emphasizing basic concepts and ways of thinking about neural networks, the author fo
Complex-Valued Neural Networks
โ Scribed by Jason P. Jue, Vinod M. Vokkarane
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Leaves
- 316
- Series
- Studies in Computational Intelligence
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book is the first monograph ever on complex-valued neural networks, which lends itself to graduate and undergraduate courses in electrical engineering, informatics, control engineering, mechanics, robotics, bioengineering, and other relevant fields. It is useful for those beginning their studies, for instance, adaptive signal processing for highly functional sensing and imaging, control in unknown and changing environment, brainlike information processing, robotics inspired by human neural systems, and 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.
โฆ Table of Contents
front-matter.pdf......Page 2
01.pdf......Page 16
02.pdf......Page 38
03.pdf......Page 64
04.pdf......Page 90
05.pdf......Page 112
06.pdf......Page 138
07.pdf......Page 163
08.pdf......Page 188
09.pdf......Page 213
10.pdf......Page 243
11.pdf......Page 257
12.pdf......Page 282
back-matter.pdf......Page 307
๐ SIMILAR VOLUMES
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<p><p><i>Complex-Valued Neural Networks</i> have higher functionality, learn faster and generalize better than their real-valued counterparts.</p><p>This book is devoted to the <i>Multi-Valued Neuron</i> (MVN) and MVN-based neural networks. It contains a comprehensive observation of MVN theory, its
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