Search results for " NEURAL NETWORKS"

showing 10 items of 390 documents

Numerical simulations and exactly soluble spin-glass models.

1985

Some general arguments based on recent numerical work are presented to explain the different behavior of short-range, random-bond and long-range, random-site spin glasses. We then analyze an exactly soluble spin-glass model, which may be solved without replicas, and show that, except for the absence of microscopic metastable states, its main features are consistent with the long-range picture.

PhysicsWork (thermodynamics)Spin glassQuantum mechanicsMetastability64.60.Cn530 PhysikCondensed Matter::Disordered Systems and Neural NetworksPhysical review. B, Condensed matter
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Transient behavior of a population dynamical model

2005

The transient behavior of an ecosystem with N random interacting species in the presence of a multiplicative noise is analyzed. The multiplicative noise mimics the interaction with the environment. We investigate different asymptotic dynamical regimes and the role of the external noise on the probability distribution of the local field.

Physicseducation.field_of_studySettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciPhysics and Astronomy (miscellaneous)Statistical Mechanics (cond-mat.stat-mech)PopulationMultiplicative noisePopulations and Evolution (q-bio.PE)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksExternal noisePopulation dynamicMultiplicative noiseFOS: Biological sciencesProbability distributionInteracting speciesTransient (oscillation)Statistical physicsQuantitative Biology - Populations and EvolutioneducationLocal fieldPopulation dynamics; Multiplicative noise; Interacting speciesCondensed Matter - Statistical Mechanics
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Hourly Forecasting of SO2 Pollutant Concentration Using an Elman Neural Network

2006

In this paper the first results produced by an Elman neural network for hourly SO2 ground concentration forecasting are presented. Time series has been recorded between 1998 and 2001 and are referred to a monitoring station of SO2 in the industrial site of Priolo, Syracuse, Italy. Data has been kindly provided by CIPA (Consorzio Industriale per la Protezione dell'Ambiente, Siracusa, Italia). Time series parameters are the horizontal and vertical wind velocity, the wind direction, the stability classes of Thomas, the base level of the layer of the atmospheric stability, the gradient of the potential temperature and the difference of the potential temperature of reference.

PollutantMeteorologyArtificial neural networkRecurrent neural networksModelsIndustrial siteAtmospheric instabilityPotential temperatureEnvironmental scienceWind directionStability (probability)Wind speedNeural networks
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Traffic Parameters Estimation to Predict Road Side Pollutant Concentrations using Neural Networks

2007

The analysis aims to evaluate which is the most important among traffic parameters (flows, queues length, occupancy degree, and travel time) to forecast CO and C6H6 concentrations. The study area was identified by Notarbartolo Road and bounded by Liberta Street and Sciuti Street in the urban area of Palermo in Southern Italy. In this area, various loop detectors and one pollution-monitoring site were located. Traffic data related to the pollution-monitoring site immediately near the road link were estimated by Simulation of Urban MObility (SUMO) traffic microsimulator software using as input the flows measured by loop detectors on other links of road network. Traffic and weather data were u…

Pollutantgeographygeography.geographical_feature_categoryOccupancyArtificial neural networkMeteorologyPOLLUTANT CONCENTRATIONS NEURAL NETWORKSUrban areaTravel timeTransport engineeringWeather dataEnvironmental scienceSensitivity (control systems)QueueGeneral Environmental ScienceEnvironmental Modeling & Assessment
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Spatial heterogeneity in glassy polystyrene detected by deuteron NMR relaxation

1999

Using deuteron NMR, the dynamics of supercooled polystyrene-d 3 was investigated near the calorimetric glass transition. At these temperatures non-exponential spin lattice relaxation is found, indicating the presence of spatial heterogeneity. With increasing temperature, structural relaxation becomes fast enough to average efficiently over different spatial environments, leading to exponential magnetization decays. A qualitative comparison with toluene as a representative of a low molecular weight glass former is carried out. Indications are found that in polystyrene the observed averaging process is more effective at T g than it is in toluene.

Polymers and PlasticsGeneral Chemical EngineeringRelaxation (NMR)Spin–lattice relaxationAnalytical chemistryNuclear magnetic resonance spectroscopy530Condensed Matter::Disordered Systems and Neural NetworksCondensed Matter::Soft Condensed MatterMagnetizationchemistry.chemical_compoundDeuteriumchemistryChemical physicsPolystyrenePhysics::Chemical PhysicsSupercoolingGlass transitionActa Polymerica
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H(II) centers in natural silica under repeated UV laser irradiations

2004

We investigated the kinetics of H(II) centers (=Ge'-H) in natural silica under repeated 266nm UV irradiations performed by a Nd:YAG pulsed laser. UV photons temporarily destroy these paramagnetic defects, their reduction being complete within 250 pulses. After re-irradiation, H(II) centers grow again, and the observed recovery kinetics depends on the irradiation dose; multiple 2000 pulses re-irradiations induce the same post-irradiation kinetics of H(II) centers after each exposure cycle. The analysis of these effects allows us to achieve a deeper understanding of the dynamics of the centers during and after laser irradiation.

Pulsed laserKineticsTWOFOLD COORDINATED SIFOS: Physical sciencesATOMSParamagnetismMaterials ChemistryUv laserIrradiationEXPOSUREQuartzCondensed Matter - Materials ScienceSNChemistryNatural compoundRadiochemistryMaterials Science (cond-mat.mtrl-sci)Disordered Systems and Neural Networks (cond-mat.dis-nn)DEFECTSCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsDIFFUSIONElectronic Optical and Magnetic MaterialsWavelengthGE-DOPED SIO2MOLECULAR-HYDROGENGLASSESCeramics and Composites
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Molecular-dynamics simulation of a glassy polymer melt: Rouse model and cage effect

1999

We report results of molecular-dynamics simulations for a glassy polymer melt consisting of short, linear bead-spring chains. It was shown in previous work that this onset of the glassy slowing down is compatible with the predictions of the mode coupling theory. The physical process of `caging' of a monomer by its spatial neighbors leads to a distinct two step behavior in the particle mean square displacements. In this work we analyze the effects of this caging process on the Rouse description of the melt's dynamics. We show that the Rouse theory is applicable for length and time scales above the typical scales for the caging process. Futhermore, the monomer displacement is compared with si…

Quantitative Biology::BiomoleculesWork (thermodynamics)Condensed matter physicsChemistryGeneral Chemical EngineeringFOS: Physical sciencesThermodynamicsDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Soft Condensed MatterCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter::Soft Condensed MatterMolecular dynamicsMode couplingSoft Condensed Matter (cond-mat.soft)Relaxation (physics)Cage effectDiffusion (business)Glass transitionSupercoolingComputational and Theoretical Polymer Science
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Phase transition of light on complex quantum networks

2012

Recent advances in quantum optics and atomic physics allow for an unprecedented level of control over light-matter interactions, which can be exploited to investigate new physical phenomena. In this work we are interested in the role played by the topology of quantum networks describing coupled optical cavities and local atomic degrees of freedom. In particular, using a mean-field approximation, we study the phase diagram of the Jaynes-Cummings-Hubbard model on complex networks topologies, and we characterize the transition between a Mott-like phase of localized polaritons and a superfluid phase. We found that, for complex topologies, the phase diagram is non-trivial and well defined in the…

Quantum opticsPhysicsQuantum phase transitionQuantum PhysicsQuantum networkModels StatisticalStatistical Mechanics (cond-mat.stat-mech)LightFOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Quantum phasesCondensed Matter - Disordered Systems and Neural NetworksPhase TransitionOpen quantum systemOptical phase spaceQuantum critical pointQuantum mechanicsQuantum TheoryScattering RadiationComputer SimulationQuantum algorithmQuantum Physics (quant-ph)Condensed Matter - Statistical Mechanics
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Ultrametric Vs. Quantum Query Algorithms

2014

Ultrametric algorithms are similar to probabilistic algorithms but they describe the degree of indeterminism by p-adic numbers instead of real numbers. This paper introduces the notion of ultrametric query algorithms and shows an example of advantages of ultrametric query algorithms over deterministic, probabilistic and quantum query algorithms.

Quantum queryDegree (graph theory)Computer scienceComputer Science::Information RetrievalProbabilistic logicMathematics::General TopologyCondensed Matter::Disordered Systems and Neural NetworksIndeterminismMathematics::Metric GeometryProbabilistic analysis of algorithmsQuantum algorithmAlgorithmUltrametric spaceComputer Science::DatabasesMathematicsofComputing_DISCRETEMATHEMATICSReal number
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Thermodynamic predictions of the formation of chalcogenide glasses

1985

The understanding of glass forming ability requires quantitative information on the stable and metastable phase equilibria of binary and multicomponent systems, particularly as a function of composition and temperature. This paper discusses the success of the use of Gibbs free energy curves for the supercooled liquid relative to the stable crystalline phases to describe glass forming ability. Applications are reported for the systems GeSe2-Se, Sb2Se3-Se and GeSe2-Sb2Se3 for which experimental minimal quenching rates are available. A strongly associated regular solution model for the liquid phase gives a predicted behaviour consistent with experimental data. The method is intended to apply t…

QuenchingMaterials scienceChalcogenideMechanical EngineeringRegular solutionThermodynamicsCondensed Matter::Disordered Systems and Neural NetworksGibbs free energyCondensed Matter::Soft Condensed Matterchemistry.chemical_compoundsymbols.namesakechemistryMechanics of MaterialsMetastabilityPhase (matter)Solid mechanicssymbolsGeneral Materials ScienceSupercoolingJournal of Materials Science
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