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Artificial Neural Networks made easy with the FANN library

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28 Aug 2013CPOL24 min read 195.2K   10.6K   206  
Neural networks are typically associated with specialised applications, developed only by select groups of experts. This misconception has had a highly negative effect on its popularity. Hopefully, the FANN library will help fill this gap.
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>fann_read_train_from_file</A
>&nbsp;--&nbsp;Read training data from a file.</DT
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>fann_save_train</A
>&nbsp;--&nbsp;Save training data.</DT
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>fann_save_train_to_fixed</A
>&nbsp;--&nbsp;Save training data as fixed point.</DT
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>fann_destroy_train</A
>&nbsp;--&nbsp;Destroy training data.</DT
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>fann_train_epoch</A
>&nbsp;--&nbsp;Trains one epoch.</DT
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>fann_test_data</A
>&nbsp;--&nbsp;Calculates the mean square error for a set of data.</DT
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>fann_train_on_data</A
>&nbsp;--&nbsp;Train an ANN.</DT
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>fann_train_on_data_callback</A
>&nbsp;--&nbsp;Train an ANN.</DT
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>fann_train_on_file</A
>&nbsp;--&nbsp;Train an ANN.</DT
><DT
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>fann_train_on_file_callback</A
>&nbsp;--&nbsp;Train an ANN.</DT
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>fann_shuffle_train_data</A
>&nbsp;--&nbsp;Shuffle the training data.</DT
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>fann_merge_train_data</A
>&nbsp;--&nbsp;Merge two sets of training data.</DT
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>fann_duplicate_train_data</A
>&nbsp;--&nbsp;Copies a set of training data.</DT
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