Complex-valued Neural Networks: Theories And Applications

Theories and Applications

Akira Hirose

• Verlag: World Scientific
• Jahr: 2003
• ISBN:
  9789812791184
• Thema: Informatique
• Thema: Réseaux de neurones

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.

Inhaltsverzeichnis

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