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» Indices for Testing Neural Codes
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IJCNN
2006
IEEE
15 years 8 months ago
Neural Network Control of Spark Ignition Engines with High EGR Levels
— Research has shown substantial reductions in the oxides of nitrogen (NOx) concentrations by using 10% to 25% exhaust gas recirculation (EGR) in spark ignition (SI) engines [1]....
Atmika Singh, Jonathan Blake Vance, Brian C. Kaul,...
BMCBI
2006
146views more  BMCBI 2006»
15 years 2 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
BMCBI
2010
118views more  BMCBI 2010»
15 years 2 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
ESEM
2007
ACM
15 years 5 months ago
How Software Designs Decay: A Pilot Study of Pattern Evolution
A common belief is that software designs decay as systems evolve. This research examines the extent to which software designs actually decay by studying the aging of design patter...
Clemente Izurieta, James M. Bieman
ISSTA
2004
ACM
15 years 7 months ago
An experimental evaluation of continuous testing during development
Continuous testing uses excess cycles on a developer’s workstation to continuously run regression tests in the background, providing rapid feedback about test failures as source...
David Saff, Michael D. Ernst