Publications related to Power Efficient Hardware Implementation of a Fuzzy Neural Network

Network simplification: the Gaussian diamond network with Multiple Antennas

Christina Fragouli, Ayfer Özgür Aydin, Javad Ebrahimi Boroojeni

We consider the N-relay Gaussian diamond network when the source and the destination have ns ≥ 2 and nd ≥ 2 antennas respectively. We show that when ns = nd = 2 and when the individual MISO channels from the source to each relay and the SIMO channels from ...

2011

Organizing neural networks

Henry Markram, Rodrigo de Campos Perin, Thomas Berger

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for organizing trained and untrained neural networks. In one aspect, a neural network device includes a collection of node assemblies interconnected by betwe ...

2011

Run-Time Adaptable On-Chip Predictive Thermal Triggers

David Atienza Alonso, Pratyush Kumar

With ever-increasing power densities, Dynamic Thermal Management (DTM) techniques have become mainstream in today’s systems. An important component of such techniques is the thermal trigger. It has been shown that predictive thermal triggers can outperform ...

ACM and IEEE Press2011

Perceptual learning: why mice do not play backgammon

Elisa Tartaglia

Perceptual learning is the ability to modify perception through practice. As a form of brain plasticity, perceptual learning has been studied for more than thirty years in different fields including psychology, neurophysiology and computational neuroscienc ...

EPFL2009

A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests

Laurent Vulliet, Rafal Filip Obrzud

This paper presents a numerical procedure of material parameter identification for the coupled hydromechanical boundary value problem (BVP) of the self-boring pressuremeter test (SBPT) in clay. First, the neural network (NN) technique is applied to obtain ...

2009

Human Gait Analysis and Classification Based on Neural Networks and Fuzzy Logic

Rafal Tomasz Dlugosz

Human gait analysis and classification is the process of identifying individuals by their walking manners. Computerized gait analysis using neural networks and fuzzy logic has become an integral part of the treatment decision-making process. Authors propos ...

2009

Networks of mixed canonical-dissipative systems and dynamic hebbian learning

Max-Olivier Hongler, Julio Rodriguez

We study the dynamics of a network consisting of N diffusively coupled, stable- limit-cycle oscillators on which individual frequencies are parametrized by

w_k, k = 1, . . . ,N

. We introduce a learning rule which influences the wk by driving the system t ...

2009

Improving Actigraph Sleep/Wake Classification with Cardio-Respiratory Signals

Dario Floreano, Claudio Mattiussi, Walter Karlen

Actigraphy for long-term sleep/wake monitoring fails to correctly classify situations where the subject displays low activity, but is awake. In this paper we propose a new algorithm which uses both accelerometer and cardio-respiratory signals to overcome t ...

2008

Application of neuro-fuzzy approach in prediction of runup in swash zone

Roham Bakhtyar

A prominent parameter in dealing with swash and morphological evolution is the runup length or height, defined as the limit of landward sea. Therefore, it is necessary to predict the runup height in this area. In this paper, the abilities of a new Adaptive ...

2008

Practical Approaches for Software Components Integration in Telecommunications

Sébastien Rumley, Christian Gaumier

Nowadays, advances in telecommunication network design and performance analysis often rely on dedicated software tools. Unfortunately, developing new tools is a very time and resources consuming activity. To rationalise development costs, existing applicat ...

2008

Power Efficient Hardware Implementation of a Fuzzy Neural Network

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Network simplification: the Gaussian diamond network with Multiple Antennas

Organizing neural networks

Run-Time Adaptable On-Chip Predictive Thermal Triggers

Perceptual learning: why mice do not play backgammon

A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests

Human Gait Analysis and Classification Based on Neural Networks and Fuzzy Logic

Networks of mixed canonical-dissipative systems and dynamic hebbian learning

Improving Actigraph Sleep/Wake Classification with Cardio-Respiratory Signals

Application of neuro-fuzzy approach in prediction of runup in swash zone

Practical Approaches for Software Components Integration in Telecommunications

Organizing neural networks

Network simplification: the Gaussian diamond network with Multiple Antennas

Improving Actigraph Sleep/Wake Classification with Cardio-Respiratory Signals

Run-Time Adaptable On-Chip Predictive Thermal Triggers

Networks of mixed canonical-dissipative systems and dynamic hebbian learning

Practical Approaches for Software Components Integration in Telecommunications

Perceptual learning: why mice do not play backgammon

A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests

Application of neuro-fuzzy approach in prediction of runup in swash zone

Human Gait Analysis and Classification Based on Neural Networks and Fuzzy Logic