Complex-valued Neural Networks: Theories And Applications
eBook - PDF

Complex-valued Neural Networks: Theories And Applications

Theories and Applications

Akira Hirose

  1. 388 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Complex-valued Neural Networks: Theories And Applications

Theories and Applications

Akira Hirose

Book details
Table of contents
Citations

About This Book

In recent years, complex-valued neural networks have widened the scope of application in optoelectronics, imaging, remote sensing, quantum neural devices and systems, spatiotemporal analysis of physiological neural systems, and artificial neural information processing. In this first-ever book on complex-valued neural networks, the most active scientists at the forefront of the field describe theories and applications from various points of view to provide academic and industrial researchers with a comprehensive understanding of the fundamentals, features and prospects of the powerful complex-valued networks.

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Information

Publisher
World Scientific
Year
2003
ISBN
9789812791184
Topic
Informatique
Subtopic
Réseaux de neurones

Table of contents

  1. Contents
  2. Foreword
  3. Preface
  4. Chapter 1 Complex-Valued Neural Networks: An Introduction
  5. Chapter 2 Orthogonal Decision Boundaries and Generalization of Complex-Valued Neural Networks
  6. Chapter 3 Complex-Valued Neural Associative Memories: Network Stability and Learning Algorithm
  7. Chapter 4 A Model of Complex-Valued Associative Memories and Its Dynamics
  8. Chapter 5 Clifford Networks
  9. Chapter 6 Complex Associative Memory and Complex Single Neuron Model
  10. Chapter 7 Data-Reusing Algorithm for Complex-Valued Adaptive Filters
  11. Chapter 8 Instantaneously Trained Neural Networks with Complex Inputs
  12. Chapter 9 Applications of Complex-Valued Neural Networks for Image Processing
  13. Chapter 10 Memorization of Melodies Using Complex-Valued Recurrent Neural Network
  14. Chapter 11 Complex-Valued Generalized Hebbian Algorithm and Its Applications to Sensor Array Signal Processing
  15. Chapter 12 Phasor Model with Application to Multiuser Communication
  16. Chapter 13 Adaptive Interferometric Radar Image Processing by Using Complex-Valued Neural Network
  17. Chapter 14 Complex Neural Network Model with Analogy to Self-Oscillation Generated in an Optical Phase-Conjugate Resonator
  18. Chapter 15 Coherent Lightwave Neural Network Systems: Use of Frequency Domain
  19. Index
  20. Contributors
Citation styles for Complex-valued Neural Networks: Theories And Applications

APA 6 Citation

[author missing]. (2003). Complex-valued Neural Networks: Theories And Applications ([edition unavailable]). World Scientific Publishing Company. Retrieved from https://www.perlego.com/book/849114/complexvalued-neural-networks-theories-and-applications-theories-and-applications-pdf (Original work published 2003)

Chicago Citation

[author missing]. (2003) 2003. Complex-Valued Neural Networks: Theories And Applications. [Edition unavailable]. World Scientific Publishing Company. https://www.perlego.com/book/849114/complexvalued-neural-networks-theories-and-applications-theories-and-applications-pdf.

Harvard Citation

[author missing] (2003) Complex-valued Neural Networks: Theories And Applications. [edition unavailable]. World Scientific Publishing Company. Available at: https://www.perlego.com/book/849114/complexvalued-neural-networks-theories-and-applications-theories-and-applications-pdf (Accessed: 14 October 2022).

MLA 7 Citation

[author missing]. Complex-Valued Neural Networks: Theories And Applications. [edition unavailable]. World Scientific Publishing Company, 2003. Web. 14 Oct. 2022.