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Publications associées (100)

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Hardware-Friendly Learning Algorithms for Neural Networks: An Overview

The hardware implementation of artificial neural networks and their learning algorithms is a fascinating area of research with far-reaching applications. However, the mapping from an ideal mathematical model to compact and reliable hardware is far from evi ...

IEEE Computer Society Press1996

Weight Initialization for High Order and Multilayer Perceptrons

Proper weight initialization is one of the most important prerequisites for fast convergence of feed-forward neural networks like high order and multilayer perceptrons. In order to determine the optimal value of the initial weight variance (or range), whic ...

1994

Application of the Kohonen network to short-term load forecasting

This paper analyses the application of Kohonen's self-organizing feature map to short-term forecasting of daily electrical load. The aim of the paper is to study the feasibility of the Kohonen's self-organizing feature maps for the classification of electr ...

1993

Neural network applications in power systems

The first part of the presentation is a brief survey of the neural network models and their use in power systems, based on an analysis of more than 200 publications. The second part discusses the applications in static security assessment, with supervised ...

1993

CMOS analogue VLSI implementation of a Kohonen map

The domain of artificial neural networks has evolved rapidly during the last decade, and many research groups are presently working on new neuronal algorithms and investigating their potential for technological applications. The idea to use biologically in ...

EPFL1993

Level, Downhill and Uphill Walking Identification Using Neural Networks

Kamiar Aminian, Philippe Robert, Yves Schutz

Body accelerations during human walking are recorded by a portable measuring device. A new method for parameterising body accelerations is introduced. The parameters are presented to a Kohonen neural network classifier and the feasibility of identification ...

1993

Power system static security assessment using the Kohonen neural network classifier

The authors present the application of an artificial neural network, Kohonen's self-organizing feature map, for the classification of power system states. This classifier maps vectors of an N-dimensional space to a two-dimensional neural net in a no ...

1992

Unsupervised neural net classification of power system static security states

The authors study the application of Kohonen's self-organizing feature map to power system static security assessment. The Kohonen classifier maps vectors of an N-dimensional space to a two-dimensional neural net in a nonlinear way, preserving the topologi ...

1992

Power system static security assessment using the Kohonen neural network classifier

The operating point of a power system can be defined as a vector whose components are active and reactive power measurements. If the security criterion is prevention of line overloads, the boundaries of the secure domain of the state space are given by the ...

1991

Power flow classification for static security assessment

The authors investigate the classification of power system states using an artificial neural network model, Kohonen's self-organizing feature map. The ultimate goal of this classification is to assess power system static security in real-time. Kohonen's se ...

1991