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» Using a neural network in the software testing process
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FCCM
2009
IEEE
147views VLSI» more  FCCM 2009»
14 years 24 days ago
FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...
David Thomas, Wayne Luk
ISPW
2007
IEEE
14 years 3 months ago
The Economic Impact of Software Process Variations
The economic benefit of a certain development process or particular activity is usually unknown and indeed hard to predict. However, the cost-effectiveness of process improvement...
Florian Deissenboeck, Markus Pizka
COMPSAC
1999
IEEE
14 years 1 months ago
Optimal Software Release Policy Based on Cost and Reliability with Testing Efficiency
In this paper, we study the optimal software release problem considering cost, reliability and testing eficiency. We first propose a generalized logistic testing-effort function t...
Chin-Yu Huang, Sy-Yen Kuo, Michael R. Lyu
IPPS
1998
IEEE
14 years 1 months ago
Artificial Neural Networks on Reconfigurable Meshes
:Artificial neural networks(ANN) have been used successfully in applications such as pattern recognition, image processing, automation and control. Majority of today's applica...
Jing-Fu Fu Jenq, Wing Ning Li
JDCTA
2010
191views more  JDCTA 2010»
13 years 3 months ago
Improved Wavelet Neural Network Based on Hybrid Genetic Algorithm Applicationin on Fault Diagnosis of Railway Rolling Bearing
The method of improved wavelet transform neural network based on hybrid GA(genetic algorithm) is presented to diagnose rolling bearings faults in this paper. Genetic Artificial Ne...
Guoqiang Cai, Limin Jia, Jianwei Yang, Haibo Liu