Search results for "methods"

showing 10 items of 4526 documents

Classical Training Methods

2006

This chapter reviews classical training methods for multilayer neural networks. These methods are widely used for classification and function modelling tasks. Nevertheless, they show a number of flaws or drawbacks that should be addressed in the development of such systems. They work by searching the minimum of an error function which defines the optimal behaviour of the neural network. Different standard problems are used to show the capabilities of these models; in particular, we have benchmarked the algorithms in a nonlinear classification problem and in three function modelling problems.

Artificial neural networkComputer sciencebusiness.industrymedia_common.quotation_subjectTraining methodsMachine learningcomputer.software_genreError functionDelta ruleMultilayer perceptronArtificial intelligenceNonlinear classificationbusinessFunction (engineering)computermedia_common
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Neural network prediction in a system for optimizing simulations

2002

Neural networks have been widely used for both prediction and classification. Back-propagation is commonly used for training neural networks, although the limitations associated with this technique are well documented. Global search techniques such as simulated annealing, genetic algorithms and tabu search have also been used for this purpose. The developers of these training methods, however, have focused on accuracy rather than training speed in order to assess the merit of new proposals. While speed is not important in settings where training can be done off-line, the situation changes when the neural network must be trained and used on-line. This is the situation when a neural network i…

Artificial neural networkbusiness.industryComputer scienceTraining timeTraining (meteorology)Context (language use)Machine learningcomputer.software_genreTraining methodsIndustrial and Manufacturing EngineeringTabu searchSimulated annealingArtificial intelligencebusinesscomputer
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Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators

2021

One of the most challenging problems in the study of complex dynamical systems is to find the statistical interdependencies among the system components. Granger causality (GC) represents one of the most employed approaches, based on modeling the system dynamics with a linear vector autoregressive (VAR) model and on evaluating the information flow between two processes in terms of prediction error variances. In its most advanced setting, GC analysis is performed through a state-space (SS) representation of the VAR model that allows to compute both conditional and unconditional forms of GC by solving only one regression problem. While this problem is typically solved through Ordinary Least Sq…

Artificial neural networks; Chaotic oscillators; Granger causality; Multivariate time series analysis; Network physiology; Penalized regression techniques; Remote synchronization; State-space models; Stochastic gradient descent L1; Vector autoregressive modelGeneral Computer ScienceDynamical systems theoryComputer science02 engineering and technologyChaotic oscillatorsPenalized regression techniquesNetwork topologySettore ING-INF/01 - ElettronicaMultivariate time series analysisVector autoregression03 medical and health sciences0302 clinical medicineScientific Computing and Simulation0202 electrical engineering electronic engineering information engineeringRepresentation (mathematics)Optimization Theory and ComputationNetwork physiologyState-space modelsArtificial neural networkArtificial neural networksData ScienceTheory and Formal MethodsQA75.5-76.95Stochastic gradient descent L1Granger causality State-space models Vector autoregressive model Artificial neural networks Stochastic gradient descent L1 Multivariate time series analysis Network physiology Remote synchronization Chaotic oscillators Penalized regression techniquesRemote synchronizationStochastic gradient descentAutoregressive modelAlgorithms and Analysis of AlgorithmsVector autoregressive modelElectronic computers. Computer scienceSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causality020201 artificial intelligence & image processingGradient descentAlgorithm030217 neurology & neurosurgeryPeerJ Computer Science
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Crowdsourced analysis of fungal growth and branching on microfluidic platforms

2021

Fungal hyphal growth and branching are essential traits that allow fungi to spread and proliferate in many environments. This sustained growth is essential for a myriad of applications in health, agriculture, and industry. However, comparisons between different fungi are difficult in the absence of standardized metrics. Here, we used a microfluidic device featuring four different maze patterns to compare the growth velocity and branching frequency of fourteen filamentous fungi. These measurements result from the collective work of several labs in the form of a competition named the “Fungus Olympics.” The competing fungi included five ascomycete species (ten strains total), two basidiomycete…

Aspergillus NidulansHyphal growthMicrofluidicsYeast and Fungal ModelsmikrofluidistiikkaPathology and Laboratory MedicineBranching (linguistics)Microbial PhysiologyMedicine and Health SciencesBiological Phenomenamedia_commonFungal Pathogensmicrofluidic platformsMultidisciplinaryOrganic CompoundsQMonosaccharidesRMicrobial Growth and DevelopmentEukaryotaMicrofluidic Analytical TechniquesChemistryAspergillusAspergillus FumigatusExperimental Organism SystemsFungal MoldsMedical MicrobiologyPhysical SciencesMedicineEngineering and TechnologyCrowdsourcingcrowdsourcingFluidicsPathogenssienetBiological systemResearch ArticlesienirihmastotFungal GrowthFungal growthGeneral Science & TechnologySciencemedia_common.quotation_subjectCarbohydratesHyphaeMycologyBiologyResearch and Analysis Methodsfungal growthkasvuMicrobiologyCompetition (biology)AscomycotaSpecies SpecificitybranchingMicrobial PathogensBasidiomycotaOrganic ChemistryfungiOrganismsChemical CompoundsFungiSustained growthBiology and Life SciencesCollective workYeastGlucosejoukkoistaminenAnimal StudiesLinear growthDevelopmental BiologyFungal hyphaePLOS ONE
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The effectiveness of compositional animation design: Evidence from eye tracking

2017

Communication donnée le 1er septembre 2017 lors du symposium : Eye tracking as a method in learning and testing with different representations(session L 8); International audience; Learners have difficulty in decomposing conventionally designed animations to obtain raw material suitable for building high quality mental models. A composition approach to designing animations based on the Animation Processing Model was developed as a principled alternative to prevailing approaches. It provides learners with pre-decomposed material that is structured and sequenced to facilitate the relation building required for effective mental model construction. Study of a compositional animation that presen…

Assessment methods and toolsProblem solvingInstructional design[SCCO.PSYC]Cognitive science/Psychology[SCCO.PSYC] Cognitive science/PsychologyMixed-method research[ SCCO.PSYC ] Cognitive science/PsychologyLearning TechnologiesReading comprehensionComputer-assisted learningComprehension of text and graphicsMathematicsMultimedia learning
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Measurement of the atmospheric ?µ energy spectrum from 100 GeV to 200 TeV with the ANTARES telescope

2013

Atmospheric neutrinos are produced during cascades initiated by the interaction of primary cosmic rays with air nuclei. In this paper, a measurement of the atmospheric energy spectrum in the energy range 0.1-200 TeV is presented, using data collected by the ANTARES underwater neutrino telescope from 2008 to 2011. Overall, the measured flux is similar to 25 % higher than predicted by the conventional neutrino flux, and compatible with the measurements reported in ice. The flux is compatible with a single power-law dependence with spectral index gamma (meas)=3.58 +/- 0.12. With the present statistics the contribution of prompt neutrinos cannot be established.

Astrofísica:Desenvolupament humà i sostenible::Medi ambient [Àrees temàtiques de la UPC]Physics and Astronomy (miscellaneous)Raigs còsmicsFluxOceanografia7. Clean energy01 natural scienceslaw.inventionlawUnderwater acousticsEnergy range 0.1 to 200 TeVNeutrino TelescopePhysicsRange (particle radiation)Spectral index[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]atmospheric neutrinoNeutrinoAstrophysics - High Energy Astrophysical PhenomenaAstrophysics - Instrumentation and Methods for AstrophysicsLorentz Invariance ViolationFLUX[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE][PHYS.ASTR.IM]Physics [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]OscillationsSoroll -- Aspectes ambientalsAstrophysics::High Energy Astrophysical PhenomenaCosmic rayddc:500.2MACRONuclear physicsTelescopeMUONSSEARCH0103 physical sciencesNeutrinsNeutrinos010306 general physicsEngineering (miscellaneous)Cosmic raysDETECTOR:Física::Acústica [Àrees temàtiques de la UPC]ANTARESAtmospheric neutrino antineutrino010308 nuclear & particles physicsAntares telescopeHigh Energy Physics::Phenomenology[SDU.ASTR.IM]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM]13. Climate actionFISICA APLICADAlorentz invariance violation; neutrino oscillation; muonsHigh Energy Physics::ExperimentEnergy (signal processing)Bar (unit)European Physical Journal C
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Astrophysics with the Laser Interferometer Space Antenna

2023

Full list of authors: Amaro-Seoane, Pau; Andrews, Jeff; Sedda, Manuel Arca; Askar, Abbas.; Baghi, Quentin; Balasov, Razvan; Bartos, Imre; Bavera, Simone S.; Bellovary, Jillian; Berry, Christopher P. L.; Berti, Emanuele; Bianchi, Stefano; Blecha, Laura; Blondin, Stephane; Bogdanovic, Tamara; Boissier, Samuel; Bonetti, Matteo; Bonoli, Silvia; Bortolas, Elisa; Breivik, Katelyn; Capelo, Pedro R.; Caramete, Laurentiu; Cattorini, Federico; Charisi, Maria; Chaty, Sylvain; Chen, Xian; Chruslinska, Martyna; Chua, Alvin J. K.; Church, Ross; Colpi, Monica; D'Orazio, Daniel; Danielski, Camilla; Davies, Melvyn B.; Dayal, Pratika; De Rosa, Alessandra; Derdzinski, Andrea; Destounis, Kyriakos; Dotti, Massi…

AstrofísicaACTIVE GALACTIC NUCLEICosmology and Nongalactic Astrophysics (astro-ph.CO)Physics and Astronomy (miscellaneous)Black holeAstronomyStellar remnantFOS: Physical sciencesGeneral Relativity and Quantum Cosmology (gr-qc)TIDAL DISRUPTION EVENTSGeneral Relativity and Quantum CosmologyGravitational wavesMOCCA-SURVEY DATABASESettore FIS/05 - Astronomia e AstrofisicaStellar remnantsSoftware ScienceMulti-messengerGRAVITATIONAL-WAVE SOURCESInstrumentation and Methods for Astrophysics (astro-ph.IM)Extreme mass ratio in-spiralsSolar and Stellar Astrophysics (astro-ph.SR)High Energy Astrophysical Phenomena (astro-ph.HE)Black holes; Extreme mass ratio in-spirals; Gravitational waves; Multi-messenger; Stellar remnantsBlack holesData ScienceAstrophysics::Instrumentation and Methods for AstrophysicsExtreme mass ratio in-spiralAM-CVN STARSAstrophysics - Astrophysics of GalaxiesWHITE-DWARF BINARIESDOUBLE NEUTRON-STARSAstrophysics - Solar and Stellar Astrophysics[SDU]Sciences of the Universe [physics]Astrophysics of Galaxies (astro-ph.GA)AstronomiaMASSIVE BLACK-HOLEAstrophysics - High Energy Astrophysical PhenomenaAstrophysics - Instrumentation and Methods for AstrophysicsX-RAY BINARIESCOMMON-ENVELOPE EVOLUTIONGravitational waveAstrophysics - Cosmology and Nongalactic Astrophysics
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Absolute kinematics of radio-source components in the complete S5 polar cap sample: IV. Proper motions of the radio cores over a decade and spectral …

2016

We have carried out a high-precision astrometric analysis of two very-long-baseline-interferometry (VLBI) epochs of observation of the 13 extragalactic radio sources in the complete S5 polar cap sample. The VLBI epochs span a time baseline of ten years and enable us to achieve precisions in the proper motions of the source cores up to a few micro-arcseconds per year. The observations were performed at 14.4 GHz and 43.1 GHz, and enable us to estimate the frequency core-shifts in a subset of sources, for which the spectral-index distributions can be computed. We study the source-position stability by analysing the changes in the relative positions of fiducial source points (the jet cores) ove…

AstrofísicaActive galactic nucleusAstrometriaAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesAstrophysics::Cosmology and Extragalactic AstrophysicsAstrophysicsKinematics01 natural sciencesStability (probability)Radio continuum: generalBinary black hole0103 physical sciencesVery-long-baseline interferometry010306 general physicsInstrumentation and Methods for Astrophysics (astro-ph.IM)010303 astronomy & astrophysicsAstrophysics::Galaxy AstrophysicsPhysicsJet (fluid)general [Radio continuum]general [BL Lacertae objects]Astrophysics::Instrumentation and Methods for AstrophysicsAstronomy and Astrophysicsgeneral [Quasars]BL Lacertae objects: generalAstrometryAstrometryAstrophysics - Astrophysics of GalaxiesQuasars: generalGravitational lensSpace and Planetary ScienceAstrophysics of Galaxies (astro-ph.GA)Techniques: interferometricinterferometric [Techniques]Astrophysics - Instrumentation and Methods for Astrophysics
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Polarization calibration techniques for the new-generation VLBI

2020

The calibration and analysis of polarization observations in Very Long Baseline Interferometry (VLBI) requires the use of specific algorithms that suffer from several limitations, closely related to assumptions in the data properties that may not hold in observations taken with new-generation VLBI equipment. Nowadays, the instantaneous bandwidth achievable with VLBI backends can be as high as several GHz, covering several radio bands simultaneously. In addition, the sensitivity of VLBI observations with state-of-the-art equipment may reach dynamic ranges of tens of thousands, both in total intensity and in polarization. In this paper, we discuss the impact of the limitations of common VLBI …

AstrofísicaAstronomyAstrophysics::High Energy Astrophysical PhenomenaPolarimetryFOS: Physical sciencesAstrophysicsAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciencesRadio spectrumInstantaneous bandwidthSoftware0103 physical sciencesVery-long-baseline interferometry010303 astronomy & astrophysicsInstrumentation and Methods for Astrophysics (astro-ph.IM)Astrophysics::Galaxy AstrophysicsRemote sensingPhysicsEvent Horizon Telescope010308 nuclear & particles physicsbusiness.industryAstrophysics::Instrumentation and Methods for AstrophysicsAstronomy and AstrophysicsPolarization (waves)Nonlinear systemSpace and Planetary ScienceAstronomiabusinessAstrophysics - Instrumentation and Methods for Astrophysics
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Reconstruction of inclined air showers detected with the Pierre Auger Observatory

2014

We describe the method devised to reconstruct inclined cosmic-ray air showers with zenith angles greater than $60^\circ$ detected with the surface array of the Pierre Auger Observatory. The measured signals at the ground level are fitted to muon density distributions predicted with atmospheric cascade models to obtain the relative shower size as an overall normalization parameter. The method is evaluated using simulated showers to test its performance. The energy of the cosmic rays is calibrated using a sub-sample of events reconstructed with both the fluorescence and surface array techniques. The reconstruction method described here provides the basis of complementary analyses including an…

AstrofísicaAstronomyCiencias Físicas01 natural sciencesultra high energy cosmic rayHigh Energy Physics - Experiment//purl.org/becyt/ford/1 [https]ENERGYHigh Energy Physics - Experiment (hep-ex)EXPERIMENTS[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]HIGHPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)[SDU.ASTR.HE]Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Astrophysics::Instrumentation and Methods for AstrophysicsPierre Auger ObservatoryCascadeComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFísica nuclearAstrophysics - High Energy Astrophysical PhenomenaCIENCIAS NATURALES Y EXACTASNormalization (statistics)[PHYS.ASTR.HE]Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]COSMICAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic ray[ PHYS.HEXP ] Physics [physics]/High Energy Physics - Experiment [hep-ex]0103 physical sciencesEnergy spectrum010306 general physicsULTRAZenithShower reconstructionPierre Auger ObservatoryMuon010308 nuclear & particles physics[ PHYS.ASTR.HE ] Physics [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]FísicaAstronomy and Astrophysics//purl.org/becyt/ford/1.3 [https]Ultra-high energy cosmic raysRAYSComputational physicsAstronomíaInclined extensive air showersExperimental High Energy Physicscosmic ray experiments[ SDU.ASTR.HE ] Sciences of the Universe [physics]/Astrophysics [astro-ph]/High Energy Astrophysical Phenomena [astro-ph.HE]Energy (signal processing)Journal of Cosmology and Astroparticle Physics
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