Search results for "train"
showing 10 items of 4562 documents
Formación artística en el grado de maestro de primaria de la Universitat de València. Enfoques y propuestas
2014
Este trabajo presenta una propuesta enfocada a mejorar la docencia en el actual grado de maestro de Primaria en lo que a Educación Artística se refiere, según el plan de estudios de la Facultat de Magisteri de la Universitat de València. La implantación del grado es relativamente reciente con lo cual permite plantearse mejoras que conlleven dotar a los futuros maestros de herramientas que optimicen sus conocimientos del área artística. Así, se llevará a cabo una colaboración horizontal basada en la cooperación entre profesores de las diferentes áreas artísticas: Educación Plástica y Música. Por ello, se plantea la puesta en práctica de una metodología innovadora de índole cooperativa, revis…
Inside the Thompson laboratory during the “cerebellar years” and the continuing cerebellar story
2011
This paper is based on the talk by one of the authors (DL) given at the symposium for the retirement of RF Thompson (RF Thompson: A bridge between 20th and 21st century neuroscience). We first make some informal observations of the historical times and research conditions in the Thompson laboratory when the cerebellum was found to play a critical role in eye lid classical conditioning, the "cerebellar years". These conditions influenced our collaborative international program on the phenomenon known as "transfer of training" or "savings". Our research shows that the appearance of "savings" is an artifact of the order of testing, and depends upon the functioning of the contralateral interpos…
Artificial Neural Networks to correlate Hot Deformation Cooling Rate and Deformation Temperature on Continuous Cooling Transformation of 22MnB5 Steel
2016
The 22MnB5 steel is a hot stamping steel developed with the aim to satisfy the increasing request of the automotive industries to apply materials able to guarantee higher passive safety and weight reduction. The hot stamping process is an innovative forming technique in which the deformations are carried out at elevated temperature and allows to achieve high strength components. The experimental characterization of the material response, at different values of the main variables of process, may result both expensive and time consuming, but the mutual effects evaluation of the deformation parameters and the phase transformations are necessary to produce components within the desired properti…
Automated detection and classification of synoptic scale fronts from atmospheric data grids
2021
<p>Automatic determination of fronts from atmospheric data is an important task for weather prediction as well as for research of synoptic scale phenomena. We developed a deep neural network to detect and classify fronts from multi-level ERA5 reanalysis data. Model training and prediction is evaluated using two different regions covering Europe and North America with data from two weather services. Due to a label deformation step performed during training we are able to directly generate frontal lines with no further thinning during post processing. Our network compares well against the weather service labels with a Critical Success Index higher than 66.9% and a Object Detecti…
Hybrid Particle Swarm Optimization With Genetic Algorithm to Train Artificial Neural Networks for Short-Term Load Forecasting
2019
This research proposes a new training algorithm for artificial neural networks (ANNs) to improve the short-term load forecasting (STLF) performance. The proposed algorithm overcomes the so-called training issue in ANNs, where it traps in local minima, by applying genetic algorithm operations in particle swarm optimization when it converges to local minima. The training ability of the hybridized training algorithm is evaluated using load data gathered by Electricity Generating Authority of Thailand. The ANN is trained using the new training algorithm with one-year data to forecast equal 48 periods of each day in 2013. During the testing phase, a mean absolute percentage error (MAPE) is used …
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.
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…
El día a día del trabajo social en Salud: funciones y disfunciones
2010
Este artículo aporta información sobre la Asociación Española de Trabajo Social y Salud, su Delegación en la Comunidad Valenciana y la jornada que celebró en noviembre 2009, cuyo lema era: 'El día a día del Trabajo Social en Salud: funciones y disfunciones' y su objetivo propiciar un espacio de intercambio, análisis, reflexión y proposición sobre la práctica diaria en el campo de la salud por parte de los trabajadores sociales, para una mejor praxis profesional, una mayor atención integral, una mayor eficiencia asistencial, una mayor satisfacción de los ciudadanos y una mayor rentabilidad social de la intervención social en el ámbito sanitario. This article describes the Spanish Association…
Comparison of primary angioplasty with conservative therapy in patients with acute myocardial infarction and contraindications for thrombolytic thera…
1999
The benefit of primary angioplasty in patients with acute myocardial infarction (AMI) and contraindications for thrombolysis compared to a conservative regimen is still unclear. Out of 5,869 patients with AMI registered by the MITRA trial, 337 (5.7%) patients had at least one strong contraindication for thrombolytic therapy. Out of these 337 patients 46 (13.6%) were treated with primary angioplasty and 276 (86.4%) were treated conservatively. Patients treated conservatively were older (70 years vs. 60 years; P = 0.001), had a higher rate of a history with chronic heart failure (14.8% vs. 4.4%; P = 0.053), a higher heart rate at admission (86 beats/min vs. 74 beats/min; P = 0.001), and a hig…
Constraint preserving boundary conditions for the Z4c formulation of general relativity
2010
We discuss high order absorbing constraint preserving boundary conditions for the Z4c formulation of general relativity coupled to the moving puncture family of gauges. We are primarily concerned with the constraint preservation and absorption properties of these conditions. In the frozen coefficient approximation, with an appropriate first order pseudo-differential reduction, we show that the constraint subsystem is boundary stable on a four dimensional compact manifold. We analyze the remainder of the initial boundary value problem for a spherical reduction of the Z4c formulation with a particular choice of the puncture gauge. Numerical evidence for the efficacy of the conditions is prese…