thumbnail

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications

 

 

 

 

Cơ quản chủ quản:  N/A

Các bài báo tiêu biểu

Hysteresis cellular neural networks for solving combinatorial optimization problems
- Trang 539-546
T. Nakaguchi, K. Omiya, M. Tanaka
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... hiện toàn bộ
#Hysteresis #Cellular neural networks #Artificial neural networks #Large-scale systems #Limit-cycles #Piecewise linear techniques #Electronic mail #Cellular networks #Computer architecture #Heuristic algorithms
A study on limit cycles in nearly symmetric cellular neural networks
- Trang 41-46
M. Di Marco, M. Forti, A. Tesi
It is known that symmetric cellular neural networks (CNNs) are completely stable, i.e., each trajectory converges towards some equilibrium point. The paper addresses the issue of the loss of CNN complete stability caused by errors in the implementation of the nominal symmetric interconnections. The main result is a structural condition which implies the existence of stable limit cycles generated v... hiện toàn bộ
#Limit-cycles #Intelligent networks #Cellular neural networks #Neurons #Symmetric matrices #Bifurcation #Neural networks #Differential equations #Robust stability #Stationary state
CNN-based 3D thermal modeling of the soil for antipersonnel mine detection
- Trang 307-314
P. Lopez, D.L. Vilarino, D. Cabello
The inherent analogies between the defining equation of CNN and that of heat transfer are well known. In this paper, we explore the projection of a 3D thermal model of the soil on this kind of structure. In so doing, reliable and fast prediction of the thermodynamic behavior of soil subject to known boundary conditions can be obtained. That way, it is possible to characterize different kinds of so... hiện toàn bộ
#Cellular neural networks #Landmine detection #Heat transfer #Soil measurements #Equations #Boundary conditions #Nonhomogeneous media #Infrared detectors #Time measurement #Thermal conductivity
Theo dõi nhiều mục tiêu với các máy CNN thế hệ đầy đủ có chương trình lưu trữ Dịch bởi AI
- Trang 299-306
C. Rekeczky, G. Timar, G. Cserey
Bài báo này chỉ ra rằng hiệu suất của các hệ thống theo dõi nhiều mục tiêu (MTT) có thể được cải thiện đáng kể bằng các cảm biến mạng tế bào thích ứng có chương trình lưu trữ. Động lực chính của công trình hiện tại là định nghĩa một kiến trúc vi xử lý topo cho MTT với các cảm biến nhúng có khả năng hoạt động theo cách thời gian thực. Trong các thí nghiệm đang diễn ra, giả định rằng dòng dữ liệu đầ... hiện toàn bộ
#Cellular neural networks #Turing machines #Sensor arrays #Digital signal processing #Adaptive arrays #Microprocessors #Sensor phenomena and characterization #Target tracking #Sensor systems #Cellular networks
Analyzing multidimensional neural activity via CNN-UM
- Trang 243-250
V. Gal, S. Grun, R. Tetzlaff
In this paper we show that CNN-UM is an excellent tool for analyzing time series of multidimensional binary signals. The developed algorithm is dedicated to process electrophysiological multi-neuron recordings: our aim is to find specific multidimensional activity patterns, which may reflect higher order functional cell-assemblies. The analysis consists of two parts: the occurrences of different p... hiện toàn bộ
#Multidimensional systems #Neurons #Frequency synchronization #Cellular neural networks #Electrodes #Physics #Neurophysiology #Signal analysis #Time series analysis #Electrophysiology
Implementing grayscale morphological operators with a compact ranked order extractor circuit
- Trang 646-653
J. Poikonen, A. Paasio
Mathematical morphology provides tools for many image processing tasks. In this paper we discuss the implementation of grayscale morphological operators of erosion, dilation and reconstruction with a hardware efficient ranked order filter circuit. By using dedicated hardware for these basic operations a higher performance of processing more complex functions in a massively parallel processor array... hiện toàn bộ
#Gray-scale #Circuits #Morphology #Image reconstruction #Filters #Image processing #Hardware #Cellular neural networks #Morphological operations #Data mining
Basic mammalian retinal effects on the prototype complex cell CNN universal machine
- Trang 251-8
D. Balya, C. Rekeczky, T. Roska
The unique possibility for reconstructing the first stage of the visual system on a programmable silicon chip is described. The developed mammalian retinal model can be implemented as an analogic algorithm running on a prototype complex cell cellular neural network processor. It enables the neuro-biological and vision research communities to study the wisdom of biological visual transformations de... hiện toàn bộ
#Retina #Prototypes #Cellular neural networks #Turing machines #Visual system #Silicon #Biological system modeling #Design engineering #Biology computing #Neuroscience
Delay-driven contrast enhancement using a cellular neural network with state-dependent delay
- Trang 202-208
P. Ecimovic, J. Wu
We design a cellular neural network model with state-dependent delay to perform delay-driven contrast enhancement on continuous image sequences, e.g., in moving image data. We report here some preliminary results of a simulation of this system using a recently-released algorithm for solving systems of delay differential equations containing state-dependent delays.
#Cellular neural networks #Delay #Personal digital assistants #Pervasive computing #Object detection #Integrated circuit modeling #Equations #Mathematics #Neural networks #Impedance
Biometric authentication based on perceptual resonance between CNN emergent patterns and humans
- Trang 267-274
R. Dogaru, I. Dogaru
This paper investigates a novel application in biometry of the emergent complex patterns in cellular neural networks. Using a set of patterns generated in the "unstable" regime of discrete-time generalized cellular automata (GCA), it was found that human subjects exposed to these patterns would resonate perceptually with them in a personal manner which qualifies such a resonance as a biometric "br... hiện toàn bộ
#Biometrics #Authentication #Resonance #Cellular neural networks #Humans #Biological information theory #Electronic mail #Performance evaluation #Costs #Fingerprint recognition
CNN based color constancy algorithm
- Trang 452-8
L. Torok, A. Zarandy
Color constancy (CC) is a perceptional phenomena in which living species, capable of color vision, perceive object color apart from the spectral distribution of light applied to illuminate the objects. The algorithm that can recover objects' original color and display them as if they were illuminated by spectrally even (white) light is called the CC algorithm. In contrast to other solutions our ap... hiện toàn bộ
#Cellular neural networks #Lighting #Robustness #Color #Semiconductor device modeling #Humans #Computer vision #Distributed computing #Cellular networks #Layout