Feed Forward Ann

A method to train a generic Feed Forward Artifical Neural Network in order to simulate a function from the features space (R^n) to R. Uses the Back-propagation method. Produces a trained neural network in the form of a compiled file which can be used in the FEED FORWARD NEURAL NETWORK DISTRIBUTION algorithm. - Process category: Training

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Geonetwork Links
Field Value
GN_Metadata_Show http://geonetwork.d4science.org/geonetwork/srv/en/metadata.show?uuid=2cf328d5-b58e-4182-848e-761b226e3520
GN_Metadata_Source http://geonetwork.d4science.org/geonetwork/srv/en/xml.metadata.get?uuid=2cf328d5-b58e-4182-848e-761b226e3520
GN_URL http://geonetwork.d4science.org/geonetwork
Additional Info
Field Value
access_constraints []
coupled-resource
[]
dataset-reference-date
[{"type": "creation", "value": "2018-04-11T12:19:22.308+02:00"}, {"type": "publication", "value": "2018-04-11T12:19:22.308+02:00"}, {"type": "revision", "value": "2018-04-11T12:19:22.308+02:00"}]
frequency-of-update asNeeded
GUID 2cf328d5-b58e-4182-848e-761b226e3520
licence []
metadata-date 2018-05-10T12:37:48
metadata-language eng
resource-type application
responsible-party
[{"name": "", "roles": ["originator"]}]
spatial_harvester true
system:type Application
topic_category environment, geoscientificInformation
Management Info
Field Value
Maintainer bluebridge_catalogue_one
Last Updated 10 September 2018, 21:34 (CEST)
Created 10 September 2018, 21:34 (CEST)