Diffusion Analysis of Direction-Preserving Small-World CNN
نویسندگان
چکیده
Recently, the authors have proposed Small-World Cellular Neural Network (SWCNN), which is constructed by introducing some random couplings between cells of the original Chua-Yang CNN. In this article, the Direction-Preserving SWCNN is proposed and the features are investigated.
منابع مشابه
On strongly Jordan zero-product preserving maps
In this paper, we give a characterization of strongly Jordan zero-product preserving maps on normed algebras as a generalization of Jordan zero-product preserving maps. In this direction, we give some illustrative examples to show that the notions of strongly zero-product preserving maps and strongly Jordan zero-product preserving maps are completely different. Also, we prove that the direct p...
متن کاملLearning Document Image Features With SqueezeNet Convolutional Neural Network
The classification of various document images is considered an important step towards building a modern digital library or office automation system. Convolutional Neural Network (CNN) classifiers trained with backpropagation are considered to be the current state of the art model for this task. However, there are two major drawbacks for these classifiers: the huge computational power demand for...
متن کاملCNN-based difference-controlled adaptive non-linear image filters
In this paper, we develop a common cellular neural network framework for various adaptive nonlinear filters based on robust statistic and geometry-driven diffusion paradigms. The base models of both approaches are defined as difference-controlled nonlinear CNN templates while the self-adjusting property is ensured by simple analogic (analog and logic) CNN algorithms. Two adaptive strategies are...
متن کاملPositivity-preserving nonstandard finite difference Schemes for simulation of advection-diffusion reaction equations
Systems in which reaction terms are coupled to diffusion and advection transports arise in a wide range of chemical engineering applications, physics, biology and environmental. In these cases, the components of the unknown can denote concentrations or population sizes which represent quantities and they need to remain positive. Classical finite difference schemes may produce numerical drawback...
متن کاملNumerical resolution of an anisotropic non-linear diffusion problem
This paper is devoted to the numerical resolution of an anisotropic non-linear diffusion problem involving a small parameter ǫ, defined as the anisotropy strength reciprocal. In this work, the anisotropy is carried by a variable vector function b. The equation being supplemented with Neumann boundary conditions, the limit ǫ→0 is demonstrated to be a singular perturbation of the original diffusi...
متن کامل