Results 21 to 30 of about 6,415,449 (238)
Bifurcation in a nonlinear steady state system [PDF]
Opuscula Mathematica, 2010 The steady state solutions of a nonlinear digital cellular neural network with \(\omega\) neural units and a nonnegative variable parameter \(\lambda\) are sought. We show that \(\lambda = 1\) is a critical value such that the qualitative behavior of our
Gen-Qiang Wang, Sui Sun Cheng
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Equilibrium analysis of cellular neural networks [PDF]
, 2004 Cellular neural networks are dynamical systems, described by a large set of coupled nonlinear differential equations. The equilibrium point analysis is an important step for understanding the global dynamics and for providing design rules. We yield a set
Checco, P. +3 more
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Towards neural-symbolic integration: the evolutionary neural logic networks [PDF]
, 2004 This work presents the application of a new methodology for the production of neural logic networks into two real-world problems from the medical domain.
Tsakonas, Athanasios, A. Tsakonas
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Neural Network architectures design by Cellular Automata evolution [PDF]
, 2000 4th Conference of Systemics Cybernetics and Informatics. Orlando, 23-26 July 2000The design of the architecture is a crucial step in the successful application of a neural network.
Galván, Inés M. +3 more
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Performance Estimate of Inverse Rashba–Edelstein Magnetoelectric Devices for Neuromorphic Computing
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019 We propose a new design for a cellular neural network with spintronic neurons and CMOS-based synapses. Harnessing the magnetoelectric and inverse Rashba-Edelstein effects allows natural emulation of the behavior of an ideal cellular network.
Andrew W. Stephan +2 more
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Frontiers in Neuroanatomy, 2021 The function of a neural circuit can be determined by the following: (1) characteristics of individual neurons composing the circuit, (2) their distinct connection structure, and (3) their neural circuit activity.
June Hoan Kim +7 more
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Cellular neural networks, Navier-Stokes equation and microarray image reconstruction [PDF]
, 2011 Copyright @ 2011 IEEE.Although the last decade has witnessed a great deal of improvements achieved for the microarray technology, many major developments in all the main stages of this technology, including image processing, are still needed.
Bachar Zineddin +5 more
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EXTRACTION OF FACIAL FEATURES USING GENETIC CELLULAR NEURAL NETWORKS
Electrica, 2002 This paper presents proper CNN templates to locate face region consisting of eyes,eyebrows, nose and mouth in frontal face images. Training of CNN is done by using genetic algorithms. At the begining, 72 random genes are selected.
Osman Nuri UCAN +2 more
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A Synaptic Mechanism For Network Synchrony
Frontiers in Cellular Neuroscience, 2014 Within neural networks, synchronization of activity is dependent upon the synaptic connectivity of embedded microcircuits and the intrinsic membrane properties of their constituent neurons.
Simon T Alford, Michael Harris Alpert
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Modeling and Simulation Using Artificial Neural Network-Embedded Cellular Automata
IEEE Access, 2020 For the accurate prediction of a complex system, determining how to model well it is essential. A classical simulation modeling method that abstracts causality between inputs and outputs utilizing knowledge such as physical laws or operating rules is ...
Byeong Soo Kim, Tag Gon Kim
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