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The company said the testing of the network was "severely flawed".
LightSquared said on Tuesday that the testing of the network was "severely flawed".
A total of the experimental data sets are 152, of which 124 data (accounting for 80%% of the total data) were randomly selected for the training of the neural network model, and the remaining 28 data (accounting for 20%%) were utilized for the testing of the network performance.
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The testing of the trained network is done by giving the test data-set and thereafter comparing the network output with the actual output values.
Various simulation tools are easily available that have been designed to aid in the testing of the wired/wireless radio networks.
While the network was well trained, validation and testing of the network with the corresponding validation and testing data set were performed.
A total of 240 in situ data samples were collected to support the training and testing of the network.
The implementation includes training as well as testing of the network.
A back propagation algorithm, the most common learning method for ANNs, is used in the training and testing of the network.
Testing of the networks is executed on the MNIST database.
The procedures for testing the performance of the network on naming words and nonwords were the same as in Simulation 1.
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