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» On the use of spiking neural network for EEG classification
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ICANN
2005
Springer
14 years 2 months ago
Neural Network Classifers in Arrears Management
Abstract. The literature suggests that an ensemble of classifiers outperforms a single classifier across a range of classification problems. This paper investigates the applicat...
Esther Scheurmann, Chris Matthews
BSN
2009
IEEE
189views Sensor Networks» more  BSN 2009»
13 years 6 months ago
Neural Network Gait Classification for On-Body Inertial Sensors
Clinicians have determined that continuous ambulatory monitoring provides significant preventative and diagnostic benefit, especially to the aged population. In this paper we descr...
Mark A. Hanson, Harry C. Powell Jr., Adam T. Barth...
ICMCS
2009
IEEE
146views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Deep networks for audio event classification in soccer videos
In this work is presented a novel approach for the classification of audio concepts in broadcast soccer videos using deep belief network (DBN), a probabilistic neural network with...
Lamberto Ballan, Alessio Bazzica, Marco Bertini, A...
IJCAI
1989
13 years 9 months ago
Training Feedforward Neural Networks Using Genetic Algorithms
Multilayered feedforward neural networks possess a number of properties which make them particularly suited to complex pattern classification problems. However, their application ...
David J. Montana, Lawrence Davis
NPL
2002
145views more  NPL 2002»
13 years 8 months ago
Hybrid Feedforward Neural Networks for Solving Classification Problems
A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in or...
Iulian B. Ciocoiu