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 +6 more
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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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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 +3 more
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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 +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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Medical imaging analysis with artificial neural networks [PDF]
, 2010 Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
Jiang, J., Ren, Jinchang, Trundle, P.
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Optimizing Opto-Electronic Cellular Neural Networks Using Bees Swarm Intelligent [PDF]
Engineering and Technology Journal, 2010 This paper presents an application of Bees algorithm to the optimization of cellular neural network for opto-electronics design, where cellular neural networks bees are a large – scale nonlinear analog circuit which processes signals in real time.
Hanan A.R.Akkar
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Grammars and cellular automata for evolving neural networks architectures [PDF]
, 2000 IEEE International Conference on Systems, Man, and Cybernetics. Nashville, TN, 8-11 October 2000The class of feedforward neural networks trained with back-propagation admits a large variety of specific architectures applicable to approximation pattern ...
Molina López, José Manuel +3 more
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