Publications associées à Neuro-fuzzy

PCA and deep learning based myoelectric grasping control of a prosthetic hand

Background: For the functional control of prosthetic hand, it is insufficient to obtain only the motion pattern information. As far as practicality is concerned, the control of the prosthetic hand force is indispensable. The application value of prosthetic ...

2018

Locally Linear Neuro-Fuzzy Estimate of the Prosthetic Knee Angle and its Validation in a Robotic Simulator

Kamiar Aminian, Arash Arami, Natacha Vida Martins

Here we present a low-power magnetic measurement system based on only two Hall-effect elements and a permanent magnet integrated into a smart knee prosthesis to accurately measure knee flexion-extension. The smart prosthesis was tested in a robotic knee si ...

Institute of Electrical and Electronics Engineers2015

Comparison Among Computational Intelligence Methods For Engine Knock Detection. Part 2

Anamaria Radoi

The novelty this article brings is the use of neural networks and neuro-fuzzy modeling to take the engine knock detection based on pressure and vibration samples taken from an internal combustion engine to the next step from previous achievements, the ulti ...

2012

Cross-shore sediment transport estimation using fuzzy inference system in the swash zone

Roham Bakhtyar

The interactions between fluid and sediment in the swash zone dominate the erosion or accretion of the beach, and they act as boundary conditions for nearshore hydrodynamic and morphodynamic models. Thus, the evaluation of sediment transport is of particul ...

2011

Vehicle recognition from multi-spectral and LiDAR elevation data with object-oriented analysis

André-Gilles Dumont, Sofia Samoili

This research study addresses issues of transport modeling aiming to the recognition of vehicles, with perspective to generate a knowledge base for an automatic recognition of vehicles from similar type of data. Based on two datasets consisted of multi-spe ...

2011

Realistic modeling of spectator behavior for soccer videogames with CUDA

Eray Molla

Soccer has always been one of the most popular videogame genres. When designing a soccer game, designers tend to focus on the game field and game play due to the limited computational resources, and thus the modelling of virtual spectators is paid less att ...

2011

Power Efficient Hardware Implementation of a Fuzzy Neural Network

Rafal Tomasz Dlugosz

This paper presents a digital, transistor level implemented neo-fuzzy neural network. This type of neural network is particularly well suited for real-time applications like those encountered in signal processing and nonlinear system identification. We con ...

Technical University of Lodz2010

A Weighting Scheme for Enhancing Community Detection in Networks

Martin Hasler, Alireza Khadivi

Many algorithms have recently been proposed for finding communities in networks. By definition, a community is a subset of vertices with a high number of connections among the vertices, but only few connections with other vertices. The worst drawback of mo ...

IEEE2010

Leg (AMAL) using bipedal robotics technology

Auke Ijspeert

The objective of the work presented here is to develop a low cost active above knee prosthetic device exploiting bipedal robotics technology which will work utilizing the available biological motor control circuit properly integrated with a Central Pattern ...

Elsevier2009

Fuzzy Trust Aggregation And Personalized Trust Inference In Virtual Social Networks

Mohsen Lesani

Virtual marketplaces on the Web provide people with great facilities to buy and sell goods similar to conventional markets. In traditional business, reputation is subjectively built for known persons and companies as the deals are made in the course of tim ...

2009

A fuzzy approach for the evaluation of competences

Rémy Glardon, Naoufel Cheikhrouhou, Grégoire Pepiot

Maintaining and developing competitive advantages in a constantly changing market require the creation and exploitation of a network of adequate competences. Competence management necessitates both clean formalization and evaluation of the pertinence of co ...

Elsevier2008

Adaptive neuro-fuzzy inference system in modelling fatigue life of multidirectional composite laminates

Anastasios Vassilopoulos

Adaptive neuro-fuzzy inference system (ANFIS) has been successfully used for the modelling of fatigue behaviour of a multidirectional composite laminate. The evaluation of the neuro-fuzzy model has been performed using a data base containing 257 valid fati ...

2008

Prediction of Longshore Sediment Transport Using Soft Computing Techniques

David Andrew Barry, Roham Bakhtyar

An important task for coastal engineers is to predict the sediment transport rates in coastal regions with correct estimation of this transport rate, it is possible to predict both natural morphological or beach morphology changes and the influence of coas ...

American Society of Mechanical Engineers2008

Modelling the impact of flooding stress on the growth performance of woody species using fuzzy logic

Rodolphe Schlaepfer

Among the driving processes responsible for riparian forest dynamics the species-specific impact of flooding on the development of woody plants plays a key role-particularly for lowland rivers. Only a few of the forest succession models currently in use in ...

2008

Fuzzy gain scheduling technique for power flow control

Sidi-Rachid Cherkaoui, Alexandre Oudalov

An application of fuzzy logic based control for power systems governing multiple flexible alternating current transmission system (FACTS) devices is described here. Sufficiently accurate relations have been derived to determine setpoints of FACTS devices u ...

2006