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» Using a neural network in the software testing process
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ICIC
2007
Springer
14 years 3 months ago
Edge Detection Based on Spiking Neural Network Model
Inspired by the behaviour of biological receptive fields and the human visual system, a network model based on spiking neurons is proposed to detect edges in a visual image. The st...
Qingxiang Wu, T. Martin McGinnity, Liam P. Maguire...
ARC
2009
Springer
175views Hardware» more  ARC 2009»
14 years 3 months ago
A Hardware Accelerated Simulation Environment for Spiking Neural Networks
Spiking Neural Networks (SNNs) model the biological functions of the human brain enabling neuro/computer scientists to investigate how arrays of neurons can be used to solve comput...
Brendan P. Glackin, Jim Harkin, T. Martin McGinnit...
PTS
2007
144views Hardware» more  PTS 2007»
13 years 10 months ago
Component Testing Is Not Enough - A Study of Software Faults in Telecom Middleware
The interrelationship between software faults and failures is quite intricate and obtaining a meaningful characterization of it would definitely help the testing community in decid...
Sigrid Eldh, Sasikumar Punnekkat, Hans Hansson, Pe...
NOLISP
2007
Springer
14 years 3 months ago
Word Recognition with a Hierarchical Neural Network
In this paper we propose a feedforward neural network for syllable recognition. The core of the recognition system is based on a hierarchical architecture initially developed for ...
Xavier Domont, Martin Heckmann, Heiko Wersing, Fra...
PERCOM
2009
ACM
14 years 9 months ago
DiaSim: A Parameterized Simulator for Pervasive Computing Applications
Abstract--Pervasive computing applications involve both software concerns, like any software system, and integration concerns, for the constituent networked devices of the pervasiv...
Wilfried Jouve, Julien Bruneau, Charles Consel