Results 291 to 300 of about 294,200 (356)
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A hyperbolic multilayer perceptron
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000We present a novel MLP-type neural network based on hyperbolic numbers $the hyperbolic multilayer perceptron (HMLP). The neurons of the HMLP compute 2D-hyperbolic orthogonal transformations as weight propagation functions. The HMLP can therefore be seen as the hyperbolic counterpart of the known complex MLP.
Sven Buchholz 0001, Gerald Sommer
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Multilayer perceptrons and fractals
Information Sciences, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
C. A. Murthy, Jennifer Pittman
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2011 24th SIBGRAPI Conference on Graphics, Patterns and Images, 2011
We enhance the Multi layer Perceptron to map a feature vector not only from the original d-dimensional feature space, but from an intermediate implicit Hilbert feature space in which kernels calculate inner products. The kernel substitutes the usual inner product between weight vectors and the input vector (or the feature vector of the hidden layer ...
Thomas W. Rauber, Karsten Berns
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We enhance the Multi layer Perceptron to map a feature vector not only from the original d-dimensional feature space, but from an intermediate implicit Hilbert feature space in which kernels calculate inner products. The kernel substitutes the usual inner product between weight vectors and the input vector (or the feature vector of the hidden layer ...
Thomas W. Rauber, Karsten Berns
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The Control of Absorptance of a Multilayer
Applied Optics, 1970The radiant absorptance of an arbitrary multilayer stack depends upon the amplitude reflectance of the medium on its emergent side. Contours of constant absorptance are drawn on the reflectance plane which enable the designer to determine the maximum and minimum absorptance. This is applied to optimize the absorptance of an interference photocathode.
R, Gelber, P, Baumeister
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Basic factorization for multilayers
Optics Letters, 2001We present a factorization scheme that is particularly suited to multilayer optics, and we exploit it to develop a consistent description of the action of a multilayer in terms of three basic matrices. Connections with equivalent behaviors in geometrical optics are discussed.
J J, Monzãân +2 more
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Multilayered cognitive processing
Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics, 2003The complexity of large-scale systems can be controlled by imposing structure on the problem space. In the domain of device diagnosis the problem space consists of all possible faults and their manifestations which cannot be represented directly. A multitude of perspectives, such as physical structure, function, and behavior, need to be modeled to ...
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A multilayer personality model
Proceedings of the 2nd international symposium on Smart graphics, 2002Virtual humans have been the focus of computer graphics research for several years now. The amalgamation of computer graphics and artificial intelligence has lead to the possibility of creating believable virtual personalities. The focus has shifted from modeling and animation towards imparting personalities to virtual humans.
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Adaptive multilayer perceptrons
IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339), 2003Multilayer perceptrons (MLP) with long- and short-term memories (LASTM) are proposed for adaptive processing. The activation functions of the output neurons of such a network are linear and thus the weights in the last layer affect the outputs of the network linearly and are called linear weights.
James T. Lo, Devasis Bassu
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On Queueing and Multilayer Coding
IEEE Transactions on Information Theory, 2010A single-server queue concatenated with a multilayer channel encoder is considered. The main focus of this work is on minimization of the expected delay of a packet from entering the queue until completion of successful service. Tight bounds are derived for the expected delay for different numbers of coded layers.
Avi Steiner, Shlomo Shamai
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