Sentence examples for patterns of the training from inspiring English sources

Classification methods are based on a supervised learning approach, where the patterns of the training set belong to pre-defined classes.

The min max classification technique uses hyperboxes (HBs) which have boundary hyperplanes parallel to the coordinate axes of the patterns of the training set.

The networks gradually learn the input/output relationships of interest by adjusting the network weights to minimize the error between the actual and predicted output patterns of the training sets (Fig. 9).

The last two entries indicate the positive and negative coverages (that is, the number of cases satisfying the defining conditions of the pattern) and prevalences (that is, proportion of positive, or negative, cases satisfying the defining conditions) of the pattern on the training set.

By investigating the error distribution pattern of the training set, the VQ technique is applied to generate prototypes incrementally until the desired classification result is reached.

For each individual, every input pattern of the training set was presented to the network during m iterations (pattern cycle = m: 4, 6 or 8).

This accounts for a total of 600 visual ERP patterns for the training data and 600 visual ERP patterns for the testing data, each of them lasting for a second.

You're forever on the platform Seeing the pattern of the train door closing.

Checking the applicapability of the 2D-based equations of minimum cover in practical three-dimensional problems, a series of three-dimensional FE analyses were carried out to control the out-of-plane buckling in the steel plates due to three-dimensional pattern of the train loads.

If the patterns only differ in the intensity scaling of a common pattern, then best classification accuracy should be achieved with a classifier that uses only the most informative pattern component of the training data set.

Specifically, the former provides a non-parametric construction of the network based on the purity measure, while the latter is able to capture pattern formation of the training data.