An introduction to the theory and applications of CNN
Ronald Tetzlaff
Technische Universität Dresden, Germany
DEIB – Building 24, Alpha Room
December 4th, 2015
9.30 am
Contacts:
Daniele Ielmini
Research Line:
Electron devices
Technische Universität Dresden, Germany
DEIB – Building 24, Alpha Room
December 4th, 2015
9.30 am
Contacts:
Daniele Ielmini
Research Line:
Electron devices
Sommario
Since the introduction by Chua and Yang in 1988, Cellular Neural/Nonlinear/Nanoscale Networks (CNN) have become paradigm for complexity. CNN, which are characterized by local coupling of nonlinear dynamical systems of comparably low complexity, have been considered in several publications as models in interdisciplinary investigations analyzing the dynamical behavior of spatio-temporal systems. For example, reaction-diffusion networks can be represented by CNN showing the emergence of complex behavior (e.g. pattern formation) based on local activity and especially on a subset called the “edge of chaos” in the parameter space of these networks. Furthermore, the CNN Universal Machine (UM) architecture is a complete dynamic array stored program computer very often realized on a single chip with optical sensors in CMOS technology. These universal high-speed computing systems are programmed by CNN templates as instructions e.g. in image processing applications or in the analysis of EEG in epilepsy. Recently, a camera-based controlled laser welding system has been developed and demonstrated. A rate of more than 10000 frames per second can be achieved in industrial applications.
CNN will be introduced and discussed in detail in this contribution. Especially, the performance of CNN-UM will be demonstrated by means of examples showing different applications of CNN.
CNN will be introduced and discussed in detail in this contribution. Especially, the performance of CNN-UM will be demonstrated by means of examples showing different applications of CNN.
Biografia
Ronald Tetzlaff is a Full Professor of Fundamentals of Electrical Engineering at Technische Universität Dresden, Germany. His scientific interests lie in the theory of signals and systems, system modelling and identification, Volterra systems, cellular nonlinear networks, and memristors. From1999 to 2003 he was Associate Editor for the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—PART I: FUNDAMENTAL THEORY AND APPLICATIONS. Prof. Tetzlaff was “Distinguished Lecturer” of the IEEE CAS Society (2001–2002). He is a member of the ITG, of the German Society of Electrical Engineers, and of the German URSI Committee.