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Then, the ANN can be applied to train, validate, and test for constructing an ANN model.
> Although a wealth of general machine learning methods could be applied to train anatomical entity mention recognition systems, we are not aware of previous efforts to develop such a system dedicated to anatomical entities, a point noted also by Campos et al. (2012) in their recent survey of domain tools.
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For all the developed models, the Levenberg Marquardt algorithm was applied to train the networks.
In this paper, stacked denoising autoencoders are applied to train a deep learning model.
The support vector machine (SVM) algorithm has been applied to train all of the classifiers.
The gradient-descent method using adaptive learning rates (ALRs) is applied to train all weights of the SRWNN.
We present the comparison between the two training algorithms when they are applied to train the proposed ANN to predict software reliability.
Finally, ISWGSO is applied to train the parameters of neural networks to build a soft sensor model for inferring the outlet ammonia concentration in fertilizer plant.
The test data set is used to produce SVM forecast error samples which are applied to train the sparse Bayesian learning (SBL) models and estimate the parameters of the copula-based dynamic conditional correlation matrix regression (DCCMR) model.
The data obtained were applied to train a three-level multi-neural network system designed to estimate the load of the engine, its condition status (between failure and normal performance) and to identify the cause of the failure.
Introduction: This article describes an experience carried out with a group of students from the Master's Degree in Secondary Education Teacher Training where Inquiry-Based Leapplied(IBL) is applied to train future educational counselors.
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