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Practices were selected using specific criteria to ensure they represented a range of differing clinical contexts including practice size, training and non-training practices, urban and rural settings.
The paper provides guidelines for selecting the neural network's buffer size, training algorithm, and anomaly detection features.
A central composite design was applied to find optimum values of number of neurons, training epoch, step size, training percentage and momentum coefficient.
For the neural network, various network design parameters such as the network size, training algorithm, activation functions and their causes on the effectiveness of the performance modelling are discussed.
Finally, the optimum values of variables to obtain minimum response were 22, 7670, 0.28, 65% and 0.85 for number of neurons, training epoch, step size, training percentage and momentum coefficient, respectively.
Napoleon advised, "An army's effectiveness depends on its size, training, experience, and morale, and morale is worth more than all of the other factors combined".
Similar(50)
Sometimes, maps having almost the same size, trained on the same dataset, and with identical learning algorithms and parameters, may find different clusters.
This results in a classification problem with small-size training sample set.
There are 12 full-size training pitches and a grass replica of the Wembley surface.
In this paper, we introduces an alternative implementation technique for SVM to address the classification problem with small-size training sample set.
For proof-of-concept, a medium-size training set (150 h) of reverberant speech was generated from 150-h high-quality clean speech convolving with real RIRs.
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