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An equilibrium analysis of CNNs
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1998Summary: We study the equilibrium set of cellular neural networks (CNN's). We establish new conditions for the stability of equilibria in delayed cellular neural networks (DCNN's), and we also study the topology of the equilibrium set -- whether equilibria are isolated.
Joy, Mark P., Tavsanoglu, Vedat
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International Journal of Bifurcation and Chaos, 1997
CNN is an acronym for either Cellular Neural Network when used in the context of brain science, or Cellular Nonlinear Network when used in the context of coupled dynamical systems. A CNN is defined by two mathematical constructs: 1. A spatially discrete collection of continuous nonlinear dynamical systems called cells, where information can be ...
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CNN is an acronym for either Cellular Neural Network when used in the context of brain science, or Cellular Nonlinear Network when used in the context of coupled dynamical systems. A CNN is defined by two mathematical constructs: 1. A spatially discrete collection of continuous nonlinear dynamical systems called cells, where information can be ...
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2018
The main aim of this work is to present a Quaternion Phase Convolutional Neural Network. We encode 3 quaternion phases and its magnitude as an input. Our approach is bio-inspired and is expressed in one mathematical framework. The main result is to obtain a new space feature representation for deep learning which can capture non-trivial equivariant ...
Eduardo Ulises Moya-Sánchez +3 more
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The main aim of this work is to present a Quaternion Phase Convolutional Neural Network. We encode 3 quaternion phases and its magnitude as an input. Our approach is bio-inspired and is expressed in one mathematical framework. The main result is to obtain a new space feature representation for deep learning which can capture non-trivial equivariant ...
Eduardo Ulises Moya-Sánchez +3 more
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Necessary conditions for convergence of CNNs and initialization of convolution kernels
Digital Signal Processing, 2022Zhang Huibin
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Assamese document classification using CNN, multi-channel CNN and CNN-SVM
AIP Conference Proceedings, 2023Chayanika Talukdar, Shikhar Kumar Sarma
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GH-CNN: A New CNN for Coherent Hierarchical Classification
2022Mona-Sabrine Mayouf +1 more
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Kaskade-CNN and NB-KDE-CNN: CNN Architectures with KDE and Probabilistic Reasoning Layers
2023 20th Conference on Robots and Vision (CRV), 2023openaire +1 more source
CTMLP: Can MLPs replace CNNs or transformers for COVID-19 diagnosis?
Computers in Biology and Medicine, 2023Chaosheng Tang +2 more
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