Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications
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Các bài báo tiêu biểu
Hysteresis cellular neural networks for solving combinatorial optimization problems
- Trang 539-546
Hysteresis cellular neural networks are one of artificial neural networks which
work effectively against large scale problems. In the previous work, remarkable
methods have never been developed to overcome the defects of hysteresis cellular
neural networks. We then propose a novel architecture for combinatorial
optimization problems to overcome them. Experimental results indicate the
efficiency of...
#Hysteresis #Cellular neural networks #Artificial neural networks #Large-scale systems #Limit-cycles #Piecewise linear techniques #Electronic mail #Cellular networks #Computer architecture #Heuristic algorithms
Analogue weighted median filter based on cellular neural network for standard video signal processing
- Trang 638-645
A VLSI implementation of an analogue weighted median filter based on Cellular
Neural Network (CNN) paradigm for standard video signal processing is described
in this paper. This filter consists of feedforward nonlinear template B
operating within the window of 3 by 3 pixels around the central pixel being
filtered. The feedforward nonlinear coefficients are realized using a
programmable nonlinear c...
#Cellular neural networks #Signal processing #Digital filters #Circuits #Information filtering #Information filters #Nonlinear filters #Brightness #Pixel #Differential equations
An analogic CNN-algorithm of pixel level snakes for tracking and surveillance tasks
- Trang 84-91
This paper addresses the application of the pixel level snakes for the
segmentation of moving objects. This kind of active contour techniques can
handle multiple contours simultaneously without time-processing penalty as well
as to manage appropriately the topologic transformations among them when this is
required. The implementation into a CNNUM or a specific purpose CNN platform
gives solution t...
#Surveillance #Active contours #Image segmentation #Deformable models #Application software #Cellular neural networks #Image sequences #Layout #Computer science #Hardware
Hardware-oriented algorithm for associative memories on cellular neural networks
- Trang 532-538
We present a new learning algorithm used to implement associative memories on
digital cellular neural networks. The algorithm can be easily implemented in
hardware or simulated on a digital computer without numerical errors. These
attractive features come from the finite precision of connection weights,
automatically taken into account as a design constraint; moreover, no
multiplication is needed ...
#Cellular neural networks #Hardware #Associative memory #Computational modeling #Computer architecture #Error correction #Memory architecture #Cellular networks #Distributed computing #Computer networks
Application of analogic CNN algorithms in telemedical neuroradiology
- Trang 579-586
A CNN-based image processing system as a part of a telemedical consulting system
is introduced in this paper. A consulting network for early detection of acute
ischemic stroke is outlined. CT images are processed by analogic CNN algorithms.
#Cellular neural networks #Computed tomography #Biomedical imaging #Gray-scale #Magnetic resonance imaging #Image processing #X-ray imaging #Humans #Pathology #Medical diagnostic imaging
A CNN path planning for a mobile robot in an environment with obstacles
- Trang 188-194
In this paper a method for visual control based on images of a mobile robot in
an environment with obstacles is proposed. Cellular neural networks are used
here for path planning of a mobile robot, in real time.
#Cellular neural networks #Path planning #Mobile robots #Navigation #Trajectory #Robot control #Pixel #Process planning #Signal processing #Image processing
CMOS realization of a 2-layer CNN universal machine chip
- Trang 444-51
Some of the features of the biological retina can be modelled by a cellular
neural network (CNN) composed of two dynamically coupled layers of locally
connected elementary nonlinear processors. In order to explore the possibilities
of these complex spatio-temporal dynamics in image processing, a prototype chip
has been developed by implementing this CNN model with analog signal processing
blocks. ...
#Cellular neural networks #Turing machines #Biological system modeling #Semiconductor device modeling #CMOS technology #Retina #Couplings #Nonlinear dynamical systems #Image processing #Prototypes
On the relationship between CNNs and PDEs
- Trang 16-24
The relationship between cellular neural/nonlinear networks (CNNs) and partial
differential equations (PDEs) is investigated. The equivalence between a
discrete-space CNN model and a continuous-space PDE model is rigorously defined.
The problem of the equivalence is split into two sub-problems: approximation and
topological equivalence, that can be explicitly studied for any CNN models. It
is know...
#Cellular neural networks #Mathematical model #Partial differential equations #Differential equations #Cellular networks #Biological system modeling #Circuit simulation #Fluid dynamics #Bifurcation #Automation
Novel methods and results in training universal multi-nested neurons
- Trang 601-608
This paper presents state of the art methods for training compact universal CNN
cells (or neurons) to represent arbitrary local Boolean functions. The design
tools are analyzed and optimized such that they are capable to provide fast
solutions for cells with more than 4 inputs. In particular, it is proved
statistically that any arbitrary Boolean function with n=5 inputs (corresponding
to a von Neu...
#Neurons #Cellular neural networks #Boolean functions #Hypercubes #Equations #Design optimization #Algorithm design and analysis #Logic devices #Reconfigurable logic #Modems
Author index
- Trang 669-670 - 2002
The author index contains an entry for each author and coauthor included in the
proceedings record.