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 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
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.
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.
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.
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.
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, ...
Zanjun Lu; Liu, D. Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on, 1998
This paper presents a new synthesis procedure (design algorithm) for cellular neural networks with space-invariant cloning template with applications to associative memories. In the present synthesis procedure, the design problem is formulated as a set of linear inequalities and the inequalities are solved using the well-known perceptron training algorithm. When the desired memory patterns are given by a set of ...
Liying Ma; Khorasani, K. Neural Networks, IEEE Transactions on, 2002
The objective of the paper is the application of an adaptive constructive one- hidden-layer feedforward neural networks (OHL-FNNs) to image compression. Comparisons with fixed structure neural networks are performed to demonstrate and illustrate the training and the generalization capabilities of the proposed adaptive constructive networks. The influence of quantization effects as well as comparison with the baseline JPEG scheme are ...
Koskinen, L.; Laiho, M.; Paasio, A.; Halonen, K. Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on, 2002
The suitability of an existing cellular nonlinear network (CNN) chip for MPEG-4 core profile shape segmentation is investigated. The chip and the algorithm it is based on are found to be suitable for shape segmentation and additional templates are proposed to enhance the chip's MPEG-4 suitability. Additional uses for the CNN chip are found in MPEG-4 encoder computational power demand ...
Arik, S. Neural Networks, IEEE Transactions on, 2002
In this paper, a new sufficient condition is given for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks (DCNNs). This condition imposes constraints on the feedback and delayed feedback matrices of a DCNN independently of the delay parameter. This result is also compared with the previous results derived in the literature.
Malki, S.; Spaanenburg, L. Information Technology, 2008. IT 2008. 1st International Conference on, 2008
The main thrust of CNN technology has been in analog implementations. Early attempts for digital implementations have a limited potential, confining the usage to for instance linear algorithms for B/W pictures. The paper looks into the prospects of successfully integrating the full CNN potential. This requires a carefully tuning of memory and network-on-chip bandwidth to the temporal/spatial aspects of the ...
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