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With an emerging technique, least squares support vector machines (LS-SVM), the approximated power and torque model of a vehicle engine can be determined by training the sample data acquired from the dynamometer.
The number of neurons can be determined by training different architectures with different number of neurons to select the optimal number, based on the lowest RMS error (El-Diasty et al. 2007).
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Demand type was determined by training a naive Bayes classifier on 20 features of the acoustic profile at the start of a demand event.
The projections are determined by training data using both distorted and undistorted data and applying the oriented principle component analysis (OPCA).
Associations between each transcription factor and 39 gene clusters was determined by training the RNN model that mimics the specific network motif for a given transcription factor.
Placenta weight was determined by trained midwives according to standard procedures issued by the National Board of Health.
Anthropometric parameters were determined by trained nurses.
Body height and body weight were determined by trained medical staff following a standardized protocol.
Body composition was determined by trained research staff via a dual-energy X-ray absorptiometry scan at the time of consent.
Also, anthropometric measures were determined by trained nutritionists using calibrated instruments thus ruling out the possibility of reported underestimation or overestimation of weight and height, and consequently BMI.
Diagnoses were determined by trained rehabilitation therapists based on the 2012 ICD-9-CM Diagnosis Code 722.10 (displacement of lumbar intervertebral disc without myelopathy).
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