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The time periods used in the MODFLOW were also considered for the training and testing of the developed ANN models.
The data set required for the training and testing of the proposed ANN model is obtained from Ref. [1].
A set of experimental data, covering a large range of parameters, for the training and testing of neural networks is used.
In this regard, these parameters were selected for the training and testing of the models, and the appropriate ranges for these factors were defined accordingly.
The back propagation module of a neural network package NeuNet Pro version 2.3 is used for the training and testing of survey data.
Mission cadence is a major enabler of innovation and the driver for the training and testing of the next generation of managers, engineers, and scientists.
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The training and testing of every module is carried out ten times, each time using one specific set for testing and remaining nine sets for training.
Table 3 shows the results of ANN model for the training and testing periods.
Eighty percent of the data (randomly chosen) are used for training and the remaining 20% used for testing (without overlap between the training and testing sets).
For the det1 common condition, the training and test utterances were both int style of speech.
Total 38 training datasets and 10 testing datasets were employed for training and testing of the ANN respectively.
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