[图书][B] CNN: A paradigm for complexity
LO Chua - 1998 - books.google.com
Revolutionary and original, this treatise presents a new paradigm of Emergence and
Complexity, with applications drawn from numerous disciplines, including artificial life …
Complexity, with applications drawn from numerous disciplines, including artificial life …
Entire solutions of nonlinear cellular neural networks with distributed time delays
SL Wu, CH Hsu - Nonlinearity, 2012 - iopscience.iop.org
Entire solutions of nonlinear cellular neural networks with distributed time delays Page 1
Nonlinearity PAPER Entire solutions of nonlinear cellular neural networks with distributed time …
Nonlinearity PAPER Entire solutions of nonlinear cellular neural networks with distributed time …
Color edge detections based on cellular neural network
G Li, L Min, H Zang - International Journal of Bifurcation and Chaos, 2008 - World Scientific
Color edge detection is one of the most important steps for RGB image recognition. In this
paper, we first present two robustness design theorems for the Edgegray Detection Cellular …
paper, we first present two robustness design theorems for the Edgegray Detection Cellular …
Design for CNN templates with performance of global connectivity detection
L Jin-Zhu, M Le-Quan - Communications in Theoretical Physics, 2004 - iopscience.iop.org
The cellular neural/nonlinear network (CNN) is a powerful tool for image and video signal
processing, robotic and biological visions. This paper discusses a general method for …
processing, robotic and biological visions. This paper discusses a general method for …
Structure of a class of traveling waves in delayed cellular neural networks
CH Hsu, SY Yang - Discrete and Continuous Dynamical Systems, 2005 - aimsciences.org
This work investigates the structure of a class of traveling wave solutions of delayed cellular
neural networks distributed in the one-dimensional integer lattice $\mathbb Z^ 1$. The …
neural networks distributed in the one-dimensional integer lattice $\mathbb Z^ 1$. The …
Design for robustness edgegray detection CNN
G Li, L Min, H Zang - … , Circuits and Systems (IEEE Cat. No …, 2004 - ieeexplore.ieee.org
The cellular neural/nonlinear network (CNN) is a powerful tool for image and video signal
processing, robotic and biological vision. The paper sets up a theorem to design a …
processing, robotic and biological vision. The paper sets up a theorem to design a …
Design for robustness counter detection CNN with applications
H Zang, G Li, L Min, J Wang, H Hong… - … , Circuits and Systems …, 2005 - ieeexplore.ieee.org
This paper presents a theorem for designing the robustness template parameters of a
cellular neural network (CNN) to detect contours in images. The theorem provides …
cellular neural network (CNN) to detect contours in images. The theorem provides …
The robustness design of templates of CNN for detecting inner corners of objects in gray-scale images
L Ming, L Min - … , Circuits and Systems (IEEE Cat. No. 04EX914), 2004 - ieeexplore.ieee.org
The paper presents a theorem for designing the robustness template parameters of cellular
neural/nonlinear network (CNN) for extracting inner corners of objects in gray-scale images …
neural/nonlinear network (CNN) for extracting inner corners of objects in gray-scale images …
Robustness designs of a kind of uncoupled CNNs with applications
L Min - 2005 9th International Workshop on Cellular Neural …, 2005 - ieeexplore.ieee.org
The cellular neural/nonlinear network (CNN) is a powerful tool for image and video signal
processing, robotic and biological visions, and higher brain functions. This paper discusses …
processing, robotic and biological visions, and higher brain functions. This paper discusses …
Spatial disorder of cellular neural networks
CH Hsu, SS Lin - Japan journal of industrial and applied mathematics, 2002 - Springer
This paper shows the spatial disorder of one-dimensional Cellular Neural Networks (CNN)
using the iteration map method. Under certain parameters, the map is one-dimensional and …
using the iteration map method. Under certain parameters, the map is one-dimensional and …