Difference between revisions of "Neural network module"
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Revision as of 09:30, 18 July 2018
New in the forthcoming version 2.2: docs being written...
Functions
- deer_lib_gen.m
- Generates a library of distance distributions and corresponding simulated DEER traces for use in neural network training and validation.
- deer_resample.m
- Resample DEER trace to fit the number of digitsation points expected by the neural network.
- deernet.m
- Uses a curated ensemble of neural networks to extract a distance distribution from primary DEER data.
- elexsys2deernet.m
- Prepares experimental data - saved in the Bruker Elexsys format - for input into the deernet.m function.
- netset_curate.m
- Evaluates an ensemble of neural networks and decides which ones are best.
- process_using.m
- Runs the DEER data processing using a specified neural network file.
- train_one_net.m
- Constructs a network object, generates a training library (see deer_lib_gen.m), and runs the network training - following supplied parameters.
