Search results for "Neural"

showing 10 items of 2783 documents

Forecasting daily urban electric load profiles using artificial neural networks

2004

The paper illustrates a combined approach based on unsupervised and supervised neural networks for the electric energy demand forecasting of a suburban area with a prediction time of 24 h. A preventive classification of the historical load data is performed during the unsupervised stage by means of a Kohonen's self organizing map (SOM). The actual forecast is obtained using a two layered feed forward neural network, trained with the back propagation with momentum learning algorithm. In order to investigate the influence of climate variability on the electricity consumption, the neural network is trained using weather data (temperature, relative humidity, global solar radiation) along with h…

Self-organizing mapSettore ING-IND/11 - Fisica Tecnica AmbientaleElectrical loadArtificial neural networkRenewable Energy Sustainability and the Environmentbusiness.industryComputer scienceEnergy Engineering and Power Technologyelectricity consumption neural networksDemand forecastingGridcomputer.software_genreBackpropagationFuel TechnologyNuclear Energy and EngineeringFeedforward neural networkElectricityData miningTelecommunicationsbusinesscomputerEnergy Conversion and Management
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A neural network approach to movement pattern analysis.

2004

Movements are time-dependent processes and so can be modelled by time-series of coordinates: E.g., each articulation has geometric coordinates; the set of the coordinates of the relevant articulations build a high-dimensional configuration. These configurations--or "patterns"--give reason for analysing movements by means of neural networks: The Kohonen Feature Map (KFM) is a special type of neural network, which (after having been coined by training with appropriate pattern samples) is able to recognize single patterns as members of pattern clusters. This way, for example, the particular configurations of a given movement can be identified as belonging to respective configuration clusters, …

Self-organizing mapSimilarity (geometry)Computer scienceProcess (engineering)MovementBiophysicsExperimental and Cognitive PsychologyWalkingRunningSet (abstract data type)Software DesignOrientationFeature (machine learning)Computer GraphicsHumansOrthopedics and Sports MedicineMuscle SkeletalGaitStochastic ProcessesArtificial neural networkbusiness.industryBody movementPattern recognitionGeneral MedicineBiomechanical PhenomenaJoggingData Interpretation StatisticalTrajectoryArtificial intelligenceNeural Networks ComputerbusinessAlgorithmsHuman movement science
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Visual Data Mining With Self-organizing Maps for “Self-monitoring” Data Analysis

2016

Data collected in psychological studies are mainly characterized by containing a large number of variables (multidimensional data sets). Analyzing multidimensional data can be a difficult task, especially if only classical approaches are used (hypothesis tests, analyses of variance, linear models, etc.). Regarding multidimensional models, visual techniques play an important role because they can show the relationships among variables in a data set. Parallel coordinates and Chernoff faces are good examples of this. This article presents self-organizing maps (SOM), a multivariate visual data mining technique used to provide global visualizations of all the data. This technique is presented as…

Self-organizing mapSociology and Political ScienceComputer scienceself-organizing mapscomputer.software_genreTask (project management)tutorial03 medical and health sciences0302 clinical medicinevisual data mining030212 general & internal medicinePersonalitat sociopatològicaArtificial neural networkCognitive restructuringMultidimensional dataData sciencePsicologiaSelf-monitoringEarly adolescentsdata scienceData miningartificial neural networkscomputer030217 neurology & neurosurgerySocial Sciences (miscellaneous)Sociological Methods & Research
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Tree Structured Self-Organizing Maps

1999

Publisher Summary This chapter provides an overview of the tree structured self-organizing maps (TS-SOM). It was originally intended as a fast implementation of the self-organizing map (SOM). The chapter explains that TS-SOM is a constructive smoother for a class of dimension reduction problems. There is a well known relation between self-organizing maps and principal curves. Unfortunately in most presentations it is derived by simple reasoning, avoiding the mathematical statement of the problem, which is essential to understand how efficient SOM implementations can be constructed. In this chapter, SOM is derived as a numerical solution of a generic model in a continuous domain, which diffe…

Self-organizing mapTree (data structure)Theoretical computer scienceArtificial neural networkRelation (database)Simple (abstract algebra)Computer scienceDimensionality reductionConstructiveDomain (software engineering)
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Regulation of the p19(Arf)/p53 pathway by histone acetylation underlies neural stem cell behavior in senescence-prone SAMP8 mice.

2015

Brain aging is associated with increased neurodegeneration and reduced neurogenesis. B1/neural stem cells (B1-NSCs) of the mouse subependymal zone (SEZ) support the ongoing production of olfactory bulb interneurons, but their neurogenic potential is progressively reduced as mice age. Although age-related changes in B1-NSCs may result from increased expression of tumor suppressor proteins, accumulation of DNA damage, metabolic alterations, and microenvironmental or systemic changes, the ultimate causes remain unclear. Senescence-accelerated-prone mice (SAMP8) relative to senescence-accelerated-resistant mice (SAMR1) exhibit signs of hastened senescence and can be used as a model for the stud…

SenescenceMaleAgingHistonesMiceNeural Stem CellsNeurospheremedicineSubependymal zoneAnimalsstem cell nicheCyclin-Dependent Kinase Inhibitor p19Mice KnockoutNeuronsbiologyNeurodegenerationNeurogenesishistone acetyltransferasesBrainAcetylationCell BiologyOriginal Articlesmedicine.diseaseGenes p53Neural stem cellChromatinCell biologyadult neurogenesisOxidative StressHistoneImmunologybiology.proteinProtein Processing Post-TranslationalSAMP8 micehistone deacetylasesAging cell
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Age-related changes in astrocytic and ependymal cells of the subventricular zone

2014

Neurogenesis persists in the adult subventricular zone (SVZ) of the mammalian brain. During aging, the SVZ neurogenic capacity undergoes a progressive decline, which is attributed to a decrease in the population of neural stem cells (NSCs). However, the behavior of the NSCs that remain in the aged brain is not fully understood. Here we performed a comparative ultrastructural study of the SVZ niche of 2-month-old and 24-month-old male C57BL/6 mice, focusing on the NSC population. Using thymidine-labeling, we showed that residual NSCs in the aged SVZ divide less frequently than those in young mice. We also provided evidence that ependymal cells are not newly generated during senescence, as ot…

Senescenceeducation.field_of_studyEpendymal CellCellular differentiationPopulationNeurogenesisSubventricular zoneBiologyNeural stem cellCellular and Molecular Neurosciencemedicine.anatomical_structurenervous systemNeurologymedicineeducationEpendymaNeuroscienceGlia
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Sudden vestibular and hearing loss in mediterranean spotted fever: The first case report

2019

Mediterranean spotted fever is an infection disease caused by Rickettsiae and transmitted by tick puncture; the diffusion of such disease is wide in countryside of the Mediterranean regions. The disease may be complicated by several organ failure due to a vasculitis, and also the inner ear can be involved although rarely. We report the first documented case of total involvement of inner ear with sensorineural hearing loss and acute vestibular impairment. The patient was treated with medical therapy and resolution of the infection, but the inner ear damage was not reversible with persistent loss of all functions, documented by instrumental vestibular analysis.

Sensorineural hearing lossAcute vestibular impairmentRickettsiaeSpotted fever
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A Study of the Simulated Evolution of the Spectral Sensitivity of Visual Agent Receptors

2001

In this article we study a model for the evolution of the spectral sensitivity of visual receptors for agents in a continuous virtual environment. The model uses a genetic algorithm (GA) to evolve the agent sensors along with the control of the agents by requiring the agents to solve certain tasks in the simulation environment. The properties of the evolved sensors are analyzed for different scenarios. In particular, it is shown that the GA is able to find a balance between sensor costs and agent performance in such a way that the spectral sensor sensitivity reflects the emission spectrum of the target objects and that the capability of the sensors to evolve can help the agents significantl…

Sensory Receptor CellsComputer scienceReal-time computingRoboticsEnvironmentcomputer.software_genreGeneral Biochemistry Genetics and Molecular BiologyTask (computing)Spectral sensitivityArtificial IntelligenceVirtual machineBraitenberg vehicleGenetic algorithmAnimalsComputer SimulationNeural Networks ComputerSensitivity (control systems)computerAlgorithmsPhotic StimulationSimulationArtificial Life
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Sensory preconditioning in newborn rabbits: from common to distinct odor memories.

2013

Brief Communication; International audience; This study evaluated whether olfactory preconditioning is functional in newborn rabbits and based on joined or independent memory of odorants. First, after exposure to odorants A+B, the conditioning of A led to high responsiveness to odorant B. Second, responsiveness to B persisted after amnesia of A. Third, preconditioning was also functional with two overlapping pairs of odorants (A+B and B+C) and amnesia of one odorant did not affect memory of the others. Thus, incidental pairing of odorants allows reinforcement of one odorant to implicitly reinforce the others, the bond then vanishes, and the memory of each element becomes independent.

Sensory preconditioningOlfactory perceptionCognitive NeuroscienceAmnesia03 medical and health sciencesCellular and Molecular Neuroscience[ SDV.NEU.SC ] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences0302 clinical medicineMemoryConditioning PsychologicalmedicineAnimals0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyOlfactory memoryCommunicationbusiness.industrymusculoskeletal neural and ocular physiology05 social sciences[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive SciencesSmellNeuropsychology and Physiological PsychologyOdorAnimals NewbornOdorantsConditioningRabbitsmedicine.symptombusinessPsychologyNeuroscience030217 neurology & neurosurgerypsychological phenomena and processes
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Sabiedrības attieksmes modelēšana, izmantojot sentimenta analīzi

2017

Šī darba mērķis ir izveidot sentimenta analīzes risinājumu, kuru paredzēts izmantot informācijas ieguves sistēmas koncepta izstrādē. Sentimenta analīze tiks veikta sociālo tīklu ziņām. Darba izstrādes sākumā tika veikta esošo sentimenta analīzes risinājumu izpēte un to rezultātu salīdzināšana. Tālāk tika veikta publiski pieejamo treniņdatu korpusu ievākšana. Papildus iegūtajiem datiem, tika izveidots latviešu valodai paredzēts sentimenta analīzes treniņdatu korpuss. Korpusa izveidošanas procesā tika veikta informācijas ieguves sistēmas koncepta izveide. Pēc nepieciešamo treniņdatu savākšanas, tika veikta ilgās īstermiņa atmiņas rekurentā neirona tīkla izveidošana un optimizēšana. Darba rezu…

Sentiment analysisSentimenta analīzeArtificial neural networksDatorzinātneMākslīgie neironu tīkli
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