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Data · dataset · 2021

Research data related to NeuralNetwork-Experiment2

Listed in UBIRA eData

The dataset supports the thesis "Semantic Impact - A novel approach for domain concept selection in ontology learning".

Description

The neural network set trained in the second experiment (by the best NN structure identified as part of the experiment, which contains 3 hidden layers and 1500 nodes on each layer). The format is as follow: TrainedNet_<Concept_Name>_<Source/Target> Source is indicated as Y Target is indicated as X NN is trained by using DeepLearning4J 1.0.0-beta3 and can be loaded with the following code: String strPath = "path to the NN file"; MultiLayerNetwork myNN = ModelSerializer.restoreMultiLayerNetwork(strPath); myNN.getLayerWiseConfigurations().setTrainingWorkspaceMode(WorkspaceMode.ENABLED);

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Topics

Provenance · 1 source records, 5 field assertions
SourceKeyLast seenRaw
UBIRA eDataoai:edata.bham.ac.uk:64410 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
descriptionsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/description
license_textsource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
publication_datesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0
titlesource · edata bham ac ukconnector:edata_bham_ac_uk@1.0.0/metadata/dc/title