Cornelia Denz

Optical Neural Networks

• Broschiertes Buch

Produktbeschreibung

In recent years, there has been a rapid expansion in the field of nonlinear optics as weIl as in the field of neural computing. Up to date, no one would doubt that nonlinear optics is one of the most promising fields of realizing large neural network models due to their inherent parallelism, the use of the speed of light and their ability to process two-dimensional data arrays without carriers or transformation bottlenecks. This is the reason why so many of the interesting applications of nonlinear optics - associative memories, Hopfield networks and self-organized nets - are realized in an all optical way using nonlinear optical processing elements. Both areas attracting people from a wide variety of disciplines and judged by the proliferation of published papers, conferences, international collaborations and enterprises, more people than ever before are now in volved in research and applications in these two fields. These people all bring a different background to the area, andone of the aims of this book is to provide a common ground from which new development can grow. Another aim is to explain the basic concepts of neural computation as weIl as its nonlinear optical realizations to an interested audi ence. Therefore, the book is about the whole field of optical neural network applications, covering all the major approaches and their important results. Especially, it its an in troduction that develops the concepts and ideas from their simple basics through their formulation into powerful experimental neural net systems.

Produktdetails

• Verlag: Vieweg+Teubner / Vieweg+Teubner Verlag
• Artikelnr. des Verlages: 978-3-663-12274-6
• Softcover reprint of the original 1st ed. 1998
• Seitenzahl: 476
• Erscheinungstermin: 13. November 2013
• Englisch
• Abmessung: 244mm x 170mm x 26mm
• Gewicht: 815g
• ISBN-13: 9783663122746
• ISBN-10: 3663122743
• Artikelnr.: 39939763

Autorenporträt

Dr. Cornelia Denz arbeitet am Institut für Angewandte Physik der Technischen Hochschule Darmstadt.

Inhaltsangabe

I Background for Optical Neural Networks.- 1 Introduction.- 2 The Principles of Neural Networks.- 3 Basic Concepts of Nonlinear and Photorefractive Optics.- II Devices, Components and Subsystems.- 4 Nonlinear Optical Storage and Interconnection Concepts.- 5 Nonlinear Thresholding.- 6 Further Computing Elements.- III Concepts, Architectures and Complex Systems.- 7 Associative Memories.- 8 Optical Realizations of Perceptron-like Neural Networks.- 9 Optical Realizations of Multilayer Perceptrons.- 10 Optical Realizations of Self-Organizing Neural Networks.- 11 Optical Realizations of Hopfield and Boltzmann Neural Networks.- 12 Optical Realizations of Adaptive Resonance Theory Networks.- 13 Outlook.