3,745 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.
Computational Intelligence Applications In Smart Grid (CIASG), 2013 IEEE Symposium on, 2013
The following topics are dealt with: computational intelligence applications; CIASG; optimization; cyber security; demand side management; distributed energy resources; FACTS; power system planning; power markets; power system economics; power system control; plug-in vehicles; renewable energy; smart micro-grids; smart grid education; smart sensing; synchrophasors; wide area monitoring and power system protection.
Cho, S.; Reggia, J.A. Neural Networks, 1992. IJCNN., International Joint Conference on, 1992
As the angle of gaze changes, so does the retinal location of the visual image of a stationary object. Since the object is correctly perceived as stationary, the retinopic coordinates of the object have been transformed into craniotopic coordinates somehow using eye position information. Neurons in area 7a of posterior parietal cortex in macaque monkeys are thought to contribute to ...
Yuei-An Liou; Shou-Fang Liu; Wang, Wen-June Geoscience and Remote Sensing, IEEE Transactions on, 2001
The authors present the retrievals of surface soil moisture (SM) from simulated brightness temperatures by a newly developed error propagation learning backpropagation (EPLBP) neural network. The frequencies of interest include 6.9 and 10.7 GHz of the advanced microwave scanning radiometer (AMSR) and 1.4 GHz (L-band) of the soil moisture and ocean salinity (SMOS) sensor. The land surface process/radiobrightness (LSP/R) model ...
Parker, K.K.; Wikswo, John P. Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference, 1995
We have applied an artificial neural network (ANN) using the backpropagation learning algorithm to the biomagnetic inverse problem. A forward model was used to calculate the magnetic fields from propagating action potentials (APs) as would be seen in nerve or muscle bundles. This forward model depicted two design schemes of a high-resolution SQUID magnetometer, whose three pickup coils were in ...
Kumar, V.K.P.; Przytula, K.W. Application Specific Array Processors, 1990. Proceedings of the International Conference on, 1990
The authors consider parallel implementation of neural network computations of fine grain SIMD machines. The authors show a mapping of a neural network having n nodes and e connections onto a parallel machine having (n+e) PEs arranged in an array of √n+e×√n+e PEs such that routing for each update iteration of the recall phase can be performed in 24(√n+e-1) elemental ...
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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