Sentence examples for selection of training datasets from inspiring English sources

The methods involve the selection of training datasets for establishing an ANN model by the uniform design method, approximation of the limit state function by the trained ANN model and estimation of the failure probability using the genetic algorithms.

The method involves the selection of training datasets for establishing an ANN model by the uniform design method, approximation of the limit state function by the trained ANN model and estimation of the failure probability using first-order reliability method (FORM).

The selection of training dataset size for ANNs should be done carefully, because ANNs have the tendency to overfit data (Huang and Huang 1991).

where M is the number of training datasets.

The algorithms successfully performed delamination detection given limited amount of training datasets.

The results illustrate that short length of training datasets with appropriate representation can perform similar to models with long length training datasets.

By effectively integrating the uniform design method with the artificial neural network based genetic algorithms (ANN-GA), the inherent inaccuracy of the selection of the training datasets for developing an ANN model in conventional ANN-GA has been eliminated while keeping the good features of the ANN-GA.

However, it is subjected to the model selection and learning complexity O K * N3), especially for a massive data set (N is the size of training dataset, and K is the number of search).

The description of training dataset is listed below.

The method is based on the use of probabilistic atlases to guide the selection of a training dataset within the same MR study to be classified.

In respect of the selections of the training dataset, two kinds of models should be trained for performance comparison.