3,734 resources related to Backpropagation
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2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
Cognitive Informatics (CI) is a cutting-edge and multidisciplinary research field that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software engineering, knowledge engineering, cognitive robots, scientific philosophy, cognitive linguistics, life sciences, and cognitive computing.
2013 15th International Conference on Transparent Optical Networks (ICTON)
ICTON addresses applications of transparent and all optical technologies in telecommunication networks, systems, and components. ICTON topics are well balanced between basic optics and network engineering. Interactions between those two groups of professionals are a valuable merit of conference. ICTON combines high level invited talks with carefully selected regular submissions.
2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
This is a general Electrical and Computer Engineering Conference which encompasses all aspects of these fields.
2013 International Joint Conference on Neural Networks (IJCNN 2013 - Dallas)
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
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.
Kuromiya, A.; Matsushita, S.; Katoh, T.; Ohnishi, N.; Sugie, N. Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on, 1993
In this paper, a new system for recognizing overlapping patterns by shifting the fixation-point using the associative memory of a neural network is proposed. This system deals with overlapping patterns of convex polygons by shifting the fixation-point at each vertex of a pattern. When the fixation- point on a pattern shifts, the appearance around each point changes accordingly. Thus all ...
Asmar, D.C.; Zelek, J.S.; Abdallah, S.M. Systems, Man and Cybernetics, 2004 IEEE International Conference on, 2004
In the absence of absolute localization tools such as GPS, a robot can still successfully navigate by conducting simultaneous localization and mapping (SLAM). All SLAM algorithms to date can only be applied in one environment at a time. In this paper we propose to extend SLAM to multi-environments. In SmartSLAM, the robot first classifies its entourage using environment recognition code ...
Abdullah, N.E.; Hashim, H.; Osman, F.N.; Adam, F.M. Electronic Devices, Systems and Applications (ICEDSA), 2010 Intl Conf on, 2010
Color and color difference are important information for a lesion in dermatological diagnosis. This paper presents various supervised ANN models for plaque classification using RGB indices. Images are taken from selected skin at the dermatological clinic which the images are captured using digital camera with controlled environment. The analysis of dermatological digital images is performed by measurements of the pixels ...
Beddoes, M.P. Fuzzy Information Processing Society - NAFIPS, 1998 Conference of the North American, 1998
The paper discusses possible designs for a hidden Markov model using artificial neural network techniques. Applications are speech generation and speech recognition. The designs could be the basis for a computer program to realise an HMM; or they could be inspiration for a special purpose piece of hardware. The designs have two parts. The first determines the time sequence of ...
Zhihong Man; Hong Ren Wu; Sophie Liu; Xinghuo Yu Neural Networks, IEEE Transactions on, 2006
A new adaptive backpropagation (BP) algorithm based on Lyapunov stability theory for neural networks is developed in this paper. It is shown that the candidate of a Lyapunov function V(k) of the tracking error between the output of a neural network and the desired reference signal is chosen first, and the weights of the neural network are then updated, from ...
Gori, Marco Introduction to Multilayer Perceptrons, 2009
The course introduces multilayer perceptrons in a self-contained way by providing motivations, architectural issues, and the main ideas behind the Backpropagation learning algorithm. In addition, the course shows how multilayer perceptrons can be successfully used in real-world applications
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