02-24-2009
Its all depends on what all modules you are willing to cover in your training session. For the SA1 and SA2 UltraSparc 10 is going to good enough , given that if you can get it in market. For advance part like cluster and all you need higher end system.
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LEARN ABOUT PHP
fann_train_on_data
FANN_TRAIN_ON_DATA(3) 1 FANN_TRAIN_ON_DATA(3)
fann_train_on_data - Trains on an entire dataset for a period of time
SYNOPSIS
bool fann_train_on_data (resource $ann, resource $data, int $max_epochs, int $epochs_between_reports, float $desired_error)
DESCRIPTION
Trains on an entire dataset for a period of time.
This training uses the training algorithm chosen by fann_set_training_algorithm(3) and the parameters set for these training algorithms.
PARAMETERS
o $ann
-Neural network resource.
o $data
-Neural network training data resource.
o $max_epochs
- The maximum number of epochs the training should continue
o $epochs_between_reports
- The number of epochs between calling a callback function. A value of zero means that user function is not called.
o $desired_error
- The desired fann_get_MSE(3) or fann_get_bit_fail(3), depending on the stop function chosen by fann_set_train_stop_function(3)
RETURN VALUES
Returns TRUE on success, or FALSE otherwise.
SEE ALSO
fann_train_on_file(3), fann_train_epoch(3), fann_get_bit_fail(3), fann_get_MSE(3), fann_set_train_stop_function(3), fann_set_training_algo-
rithm(3), fann_set_callback(3).
PHP Documentation Group FANN_TRAIN_ON_DATA(3)