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
core +9 more sources
Pseudo Almost Periodic Sequence Solutions of Discrete Time Cellular Neural Networks
Nonlinear Analysis, 2009 In this paper we discuss the existence and uniqueness of a k-pseudo almost periodic sequence solutions of a discrete time neural network. We give several sufficient conditions for the exponential and global attractivity of the solution.
S. Abbas
doaj +1 more source
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
core +1 more source
Existence of almost periodic solution for SICNN with a neutral delay
Electronic Journal of Qualitative Theory of Differential Equations, 2011 In this paper, a kind of shunting inhibitory cellular neural network with a neutral delay was considered. By using the Banach fixed point theorem, we established a result about the existence and uniqueness of the almost periodic solution for the shunting
Zheng Fang, Yongqing Yang
doaj +1 more source
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.
core +4 more sources
Dual-Mode Memristor Synaptic Circuit Design and Application in Image Processing
Frontiers in Physics, 2021 Memristor is a kind of synaptic element with nanometer size and continuously variable memristance. The bridge synaptic circuit constructed by the memristor has a simple structure and precise control. In practice, because of the non-linear characteristics
Rui Wang +3 more
doaj +1 more source
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
core +1 more source
Hidden Multistability in a Memristor-Based Cellular Neural Network
Advances in Mathematical Physics, 2020 In this paper, we report a novel memristor-based cellular neural network (CNN) without equilibrium points. Dynamical behaviors of the memristor-based CNN are investigated by simulation analysis.
Birong Xu, Hairong Lin, Guangyi Wang
doaj +1 more source
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
core +1 more source
Non-Direct Encoding Method Based on Cellular Automata to Design Neural Network Architectures [PDF]
, 2005 Architecture design is a fundamental step in the successful application of Feed forward Neural Networks. In most cases a large number of neural networks architectures suitable to solve a problem exist and the architecture design is, unfortunately, still ...
Gutiérrez Sánchez, Germán +4 more
core +1 more source