Sentence examples for inputs of training from inspiring English sources

After training the networks for each test series and converting those data, which are in normalized amounts, to the real amounts, the inputs of training and testing data were given to the software in order to compare the amounts of real rotations with those calculated by the neural networks.

The economic costing (case study dataset) incorporates the value of volunteer time, the value of all inputs irrespective of the funding source and the inputs of training, monitoring and supervision and management made by the funding or management agency.

Different from the traditional learning-based method, SmartTracing does not require human input of training exemplars and can self-adapt to different types of neuroimage data.

However, unlike previous investigators, we have implemented random methods here instead of heuristically making the input of training and target runs.

Traditional classification algorithms from data mining domain, however, require the input of training data to be formatted in a data matrix where the columns represent features/attributes that characterize the voice data, and the rows are the instances of the voice data.

The inputs of the training stage are the cluster labels generated in the clustering step and the outputs are the transition matrices related to k-space trajectories.

In a representative sense, the orthogonal experimental design with four factors and five levels is used to choose the inputs of the training dataset, and the outputs are calculated by using fast Lagrangian analysis continua (FLAC).

We focus on simple covariate shift that only inputs of the training dataset and inputs of the test dataset follow different distributions, i.e. only (P_{text{tr}}(X ne P_{text{te}}(X)), while anything else does not change [8].

Phases of a constant time interval, of this very complex system could define input vectors of training data set.

The latter constraint assures that the input data of training and test set have a similar spatial diversity.

First, all the input features of training data were normalized to be between -1 and 1 by a linear function.