Conferences related to Cellular neural networks

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2014 IEEE International Symposium on Circuits and Systems (ISCAS)

The IEEE International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems Society and the world’s premier networking forum in the highly active fields of theory, design and implementation of circuits and systems.ISCAS 2014 will have a special focus on nano/bio circuits and systems applied to enhancing living and lifestyles, and seeks to address multidisciplinary challenges in healthcare and well-being, the environment and climate change.

  • 2013 IEEE International Symposium on Circuits and Systems (ISCAS)

    The Symposium will focus on circuits and systems employing nanodevices (both extremely scaled CMOS and non-CMOS devices) and circuit fabrics (mixture of standard CMOS and evolving nano-structure elements) and their implementation cost, switching speed, energy efficiency, and reliability. The ISCAS 2010 will include oral and poster sessions; tutorials given by experts in state-of-the-art topics; and special sessions, with the aim of complementing the regular program with topics of particular interest to the community that cut across and beyond disciplines traditionally represented at ISCAS.

  • 2012 IEEE International Symposium on Circuits and Systems - ISCAS 2012

    2012 International Symposium on Circuits and Systems (ISCAS 2012) aims at providing the world's premier forum of leading researchers in circuits and systems areas from academia and industries, especially focusing on Convergence of BINET (BioInfoNanoEnviro Tech.) which represents IT, NT and ET and leading Human Life Revolutions. Prospective authors are invited to submit papers of their original works emphasizing contributions beyond the present state of the art. We also welcome proposals on special tuto

  • 2011 IEEE International Symposium on Circuits and Systems (ISCAS)

    The IEEE International Symposium on Circuits and Systems (ISCAS) is the world's premier networking forum of leading researchers in the highly active fields of theory, design and implementation of circuits and systems.

  • 2010 IEEE International Symposium on Circuits and Systems - ISCAS 2010

    ISCAS is a unique conference dealing with circuits and systems. It's the yearly "rendez-vous" of leading researchers, coming both from academia and industry, in the highly active fields of theory, design and implementation of circuits and systems. The Symposium will focus on circuits and systems for high quality life and consumer technologies, including mobile communications, advanced multimedia systems, sensor networks and Nano-Bio Circuit Fabrics and Systems.

  • 2009 IEEE International Symposium on Circuits and Systems - ISCAS 2009

    Analog Signal Processing, Biomedical Circuits and Systems, Blind Signal Processing, Cellular Neural Networks and Array Computing, Circuits and Systems for Communications, Computer-Aided Network Design, Digital Signal Processing, Life-Science Systems and Applications, Multimedia Systems and Applications, Nanoelectronics and Gigascale Systems, Neural Systems and Applications, Nonlinear Circuits and Applications, Power Systems and Power Electronic Circuits, Sensory Systems, Visual Signal Processing and Communi

  • 2008 IEEE International Symposium on Circuits and Systems - ISCAS 2008

  • 2007 IEEE International Symposium on Circuits and Systems - ISCAS 2007

  • 2006 IEEE International Symposium on Circuits and Systems - ISCAS 2006

  • 2005 IEEE International Symposium on Circuits and Systems - ISCAS 2005


2013 International Conference on Anti-Counterfeiting, Security and Identification (ASID)

Micro/Nano-sensor and BioMEMSIC Design and System IntegrationMulti-core Processor and Reconfigurable ComputingCloud Computing & Internet of Things (IoT)Cryptographic Algorithm and Security ManagementNext Generation Networking and IPv6Wireless Communication and Networking EngineeringCognitive Radio and Software Defined RadioEMC Theory and RFID TechniquesPattern Recognition and Applications

  • 2012 International Conference on Anti-Counterfeiting, Security and Identification (2012 ASID)

    Cloud Computing, RFID Techniques and applications, IC Design and System Integration, Pattern recognition and applications, Cryptographic algorithm and security Management, Cognitive Radio and Software Defined Radio, Next Generation Networking and IPv6, Wireless communication and Networking engineering, EMC Theory and applications, Internet of Things (IoT).

  • 2011 IEEE International Conference on Anti-Counterfeiting, Security and Identification (2011 ASID)

    Internet of Things (IoT) RFID Techniques and applications IC Design and System Integration EMC Theory and applications Pattern recognition and applications Cryptograph standards and management Wireless communication and Networking engineering Next Generation Networking and IPv6 Information Management and polices Conference Keywords: anti-counterfeiting, security, identification, asid, rfid, and antenna, network security,internet of things, rfid techniques and applications, wireless com

  • 2010 International Conference on Anti-Counterfeiting, Security and Identification (2010 ASID)

    Live demonstrations describing novel work on systems, applications and services of the Internet reaching out into the real world of physical objects, problems related to RFID and Antenna, IC Design and System Integration, Wireless Communication and Network Security, Cryptographic Algorithm and Hardware Implementation, Anti-counterfeiting and Identification, Information Management and Industries Polices.


2012 13th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2012)

CNNA 2012 will be a forum for researchers to present the latest advances in the field of Cellular Nanoscale Networks. The conference will stimulate discussion which will lead to the definitions of the priorities in this area for the next biennium.

  • 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010)

    Nanoscale cells and devices for arrays Cellular architectures and algorithms Theoretical advances Sensory integration New spatial-temporal dynamic effects and algorithms Kilo-processor chips (1D, 2D, 3D) and development systems Biological relevance of CNN Applications on FPGAs and GPUs Emerging new technologies

  • 2008 11th International Workshop on Cellular Neural Networks and Their Applications - CNNA 2008

    CNN is a paradigm for nonlinear spatial-temporal dynamics and the core of the Cellular Active Wave Computer. Furthermore, in view of the emerging nano-scale technologies, huge amount of transistor per chip are now feasible which puts the cellular architectures and the array computing on the road toward nano-giga scale systems. CNNA 2008 will provide a forum for the presentation of latest results and exploration of future directions in Cellular Neural/Nonlinear Networks (CNN) and their Applications.


2012 8th International Conference on Natural Computation (ICNC)

ICNC is an international forum on intelligent systems inspired from nature, particularly neural, biological, and nonlinear systems, with applications to signal processing, communications, biomedical engineering and more.

  • 2011 Seventh International Conference on Natural Computation (ICNC)

    ICNC is an international forum on intelligent systems inspired from nature, particularly neural, biological, and nonlinear systems, with applications to signal processing, communications, biomedical engineering, and more.

  • 2010 Sixth International Conference on Natural Computation (ICNC)

    ICNC is an international forum on intelligent systems inspired from nature, particularly neural, biological, and nonlinear systems, with applications to signal processing, communications, biomedical engineering, and more.



Periodicals related to Cellular neural networks

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Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Neural Networks, IEEE Transactions on

Devoted to the science and technology of neural networks, which disclose significant technical knowledge, exploratory developments, and applications of neural networks from biology to software to hardware. Emphasis is on artificial neural networks.


Systems, Man, and Cybernetics, Part B, IEEE Transactions on

The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...



Most published Xplore authors for Cellular neural networks

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Xplore Articles related to Cellular neural networks

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Self-organization in CNN-based Object Nets

Ludmilla Werbos; Paul Werbos 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010), 2010

Cellular Neural Network (CNN) chips containing a thousand times as many processors as conventional programmable chips can offer a huge improvement in computational throughput, for those applications they are able to address. The artificial neural network (ANN) community has developed new learning designs and topologies, consistent with CNN, which can provide very general capabilities, especially for tasks calling for optimal ...


Genetic optimization of cellular neural networks

M. Hanggi; G. S. Moschytz Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on, 1998

The operation of a cellular neural network (CNN) is defined by a set of 19 parameters. There is no known general method for finding these parameters; analytic design methods are available for a small class of problems only. Standard learning algorithms cannot be applied due to the lack of gradient information. The authors propose a genetic algorithm as a generally ...


Exponential stability of a class of impulsive neural networks with variable delays

Jianfu Yang; Fengjian Yang; Wei Li; Dongqing Wu; Jicheng Tao 2009 IEEE International Conference on Automation and Logistics, 2009

The main purpose of this paper is to study the globally exponential stability of the equilibrium point for a class of impulsive neural networks with time- varying delays. Without assuming global Lipschitz conditions on the activation functions, applying idea of vector Lyapunov function, combining Halanay differential inequality with delay, the sufficient conditions for globally exponential stability of neural networks are ...


CNN using memristors for neighborhood connections

Eero Lehtonen; Mika Laiho 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010), 2010

In this paper we consider using memristors to implement the neighborhood connections of a CNN. First the benefits and drawbacks of using memristors as programmable CNN weights are described. Then, an existing memristor model is improved to allow full-scale simulation of the design. The new model is implemented in the SPICE simulation environment and is not restricted to CNN applications. ...


VLSI design of cellular neural networks with annealing and optical input capabilities

B. J. Sheu; S. H. Bang; Wai-Chi Fang Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on, 1995

A cellular neural network (CNN) is a locally connected, massively paralleled computing system with simple synaptic operators so that it is very suitable for VLSI implementation in real-time, high-speed applications. VLSI architecture of a continuous-time shift-invariant CNN with digitally- programmable operators and optical inputs is proposed. Circuits with annealing ability are included to achieve optimal solutions for many selected applications


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Educational Resources on Cellular neural networks

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eLearning

Self-organization in CNN-based Object Nets

Ludmilla Werbos; Paul Werbos 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010), 2010

Cellular Neural Network (CNN) chips containing a thousand times as many processors as conventional programmable chips can offer a huge improvement in computational throughput, for those applications they are able to address. The artificial neural network (ANN) community has developed new learning designs and topologies, consistent with CNN, which can provide very general capabilities, especially for tasks calling for optimal ...


Genetic optimization of cellular neural networks

M. Hanggi; G. S. Moschytz Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on, 1998

The operation of a cellular neural network (CNN) is defined by a set of 19 parameters. There is no known general method for finding these parameters; analytic design methods are available for a small class of problems only. Standard learning algorithms cannot be applied due to the lack of gradient information. The authors propose a genetic algorithm as a generally ...


Exponential stability of a class of impulsive neural networks with variable delays

Jianfu Yang; Fengjian Yang; Wei Li; Dongqing Wu; Jicheng Tao 2009 IEEE International Conference on Automation and Logistics, 2009

The main purpose of this paper is to study the globally exponential stability of the equilibrium point for a class of impulsive neural networks with time- varying delays. Without assuming global Lipschitz conditions on the activation functions, applying idea of vector Lyapunov function, combining Halanay differential inequality with delay, the sufficient conditions for globally exponential stability of neural networks are ...


CNN using memristors for neighborhood connections

Eero Lehtonen; Mika Laiho 2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010), 2010

In this paper we consider using memristors to implement the neighborhood connections of a CNN. First the benefits and drawbacks of using memristors as programmable CNN weights are described. Then, an existing memristor model is improved to allow full-scale simulation of the design. The new model is implemented in the SPICE simulation environment and is not restricted to CNN applications. ...


VLSI design of cellular neural networks with annealing and optical input capabilities

B. J. Sheu; S. H. Bang; Wai-Chi Fang Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on, 1995

A cellular neural network (CNN) is a locally connected, massively paralleled computing system with simple synaptic operators so that it is very suitable for VLSI implementation in real-time, high-speed applications. VLSI architecture of a continuous-time shift-invariant CNN with digitally- programmable operators and optical inputs is proposed. Circuits with annealing ability are included to achieve optimal solutions for many selected applications


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