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ANN was used for the training process.
The initial weight and biases for the training process are set to be random values.
Design points for the training process are obtained by explicit finite element analyses performed by PAMCRASH.
For the training process, we have to convert the original speech signal to a 4-bit 64-channel digitized signal.
To contain the number of examples required for the training process, parallel subsystems of small neural networks are designed.
Compaction parameters together with corresponding shear strength records were used as sets of data for the training process.
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A rough estimate of the execution time is given for each step of the training process.
Some experimental data is kept out of the training process for testing the network and the errors have been evaluated after the formation of the network.
Thanks to the growth of the video game industry, computer-generated scenarios now form a large part of the training process for complex jobs in industries like aviation and microsurgery.
supraHex provides several options for visualising the map generated from the training process.
The widely used methodology of cross-validation [ 11] was used for terminating the training process, so that over-training was avoided, and good generalization capabilities were ensured.
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