The company said the testing of the network was "severely flawed".
LightSquared said on Tuesday that the testing of the network was "severely flawed".
Further, direct analysis and testing of the network must be performed.
The implementation includes training as well as testing of the network.
In this problem, 100% of the data sets were used for training, validation, and testing of the network generalization.
A range of N-MORB, E-MORB and OIB dataset was used for training and testing of the network.
A total of 240 in situ data samples were collected to support the training and testing of the network.
While the network was well trained, validation and testing of the network with the corresponding validation and testing data set were performed.
A back propagation algorithm, the most common learning method for ANNs, is used in the training and testing of the network.
To build these models, training and testing of the network by using experimental results from 144 specimens produced with 16 different mixture proportions were conducted.
