Results 11 to 20 of about 4,958,442 (285)
Equilibrium Analysis of Cellular Neural Networks [PDF]
IEEE Transactions on Circuits and Systems I: Regular Papers, 2004 Cellular neural networks (CNNs) 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 of sufficient conditions (and a simple algorithm for checking them) ensuring the existence ...
GILLI, MARCO, BIEY, MARIO, CHECCO P.
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Cellular neural networks for motion estimation and obstacle detection [PDF]
Advances in Radio Science, 2003 Obstacle detection is an important part of Video Processing because it is indispensable for a collision prevention of autonomously navigating moving objects.
D. Feiden, R. Tetzlaff
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Evolutionary Neural Logic Networks in Two Medical Decision Tasks [PDF]
, 2004 Two real-world problems of the medical domain are addressed in this work using a novel approach belonging to the area of neural-symbolic systems. Specifically,we apply evolutionary techniques for the development of neural logic networks of arbitrary ...
Dounias, Georgios, Tsakonas, Athanasios
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Evolutionary cellular configurations for designing feed-forward neural networks architectures [PDF]
, 2001 Proceeding of: 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001 Granada, Spain, June 13–15, 2001In the recent years, the interest to develop automatic methods to determine appropriate architectures of feed-forward ...
Gutiérrez Sánchez, Germán +14 more
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Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2021 The article considers the methods of calculating radio signal power. The main factors influencing the distribution and their connection with the error in the calculations of the indicators' peak values are analyzed. The regularities of signal propagation
Andrii Shchepak +2 more
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Asymptotically Almost Periodic Solutions for a Class of Cellular Neural Networks with Varying Delays
Journal of Harbin University of Science and Technology, 2017 Since a class of specific differential equations called cellular neural networks with delays have been established，the discussion on existence and uniqueness of all kinds of solutions for this class of equation becomeimportant study contents，especially ...
YAO Hui-li, SUN Hai-tong, BU Xian-jiang
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Advances in Difference Equations, 2020 At present, the research on discrete-time Clifford-valued neural networks is rarely reported. However, the discrete-time neural networks are an important part of the neural network theory.
Yongkun Li, Shiping Shen
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Studying the capacity of cellular encoding to generate feedforward neural network topologies [PDF]
, 2004 Proceeding of: IEEE International Joint Conference on Neural Networks, IJCNN 2004, Budapest, 25-29 July 2004Many methods to codify artificial neural networks have been developed to avoid the disadvantages of direct encoding schema, improving the search ...
Gutiérrez Sánchez, Germán +10 more
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Zagreb Connection Numbers for Cellular Neural Networks
Discrete Dynamics in Nature and Society, 2020 Neural networks in which communication works only among the neighboring units are called cellular neural networks (CNNs). These are used in analyzing 3D surfaces, image processing, modeling biological vision, and reducing nonvisual problems of geometric ...
Jia-Bao Liu, Zahid Raza, Muhammad Javaid
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Generative capacities of cellular automata codification for evolution of NN codification [PDF]
, 2002 Proceeding of: International Conference on Artificial Neural Networks. ICANN 2002, Madrid, Spain, August 28-30, 2002Automatic methods for designing artificial neural nets are desired to avoid the laborious and erratically human expert’s job. Evolutionary
Gutiérrez Sánchez, Germán +10 more
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