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Part 1: Document Description
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Citation |
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Title: |
The source codes of DEVFNN |
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Identification Number: |
doi:10.21979/N9/LVFNVG |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2022-06-24 |
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Version: |
1 |
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Bibliographic Citation: |
Pratama, Mahardhika; Pedrycz, Witold; Webb, Geoffrey I., 2022, "The source codes of DEVFNN", https://doi.org/10.21979/N9/LVFNVG, DR-NTU (Data), V1, UNF:6:glL3E+ZePWuvW/m8qMs2VA== [fileUNF] |
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Citation |
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Title: |
The source codes of DEVFNN |
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Identification Number: |
doi:10.21979/N9/LVFNVG |
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Authoring Entity: |
Pratama, Mahardhika (Nanyang Technological University) |
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Pedrycz, Witold (University of Alberta, Edmonton, Canada) |
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Webb, Geoffrey I. (Monash University, Melbourne, Australia) |
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Software used in Production: |
Matlab |
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Grant Number: |
RG130/17 |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Pratama, Mahardhika |
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Depositor: |
Pratama, Mahardhika |
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Date of Deposit: |
2022-05-13 |
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Holdings Information: |
https://doi.org/10.21979/N9/LVFNVG |
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Study Scope |
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Keywords: |
Computer and Information Science, Computer and Information Science, Data streams, deep neural networks (DNNs), fuzzy neural network (FNN), online learning |
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Abstract: |
the source code of DEVFNN " An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Nonstationary Data Streams " |
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Kind of Data: |
code |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
Please refer to the LICENSE.md file in this dataset. |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1109/TFUZZ.2019.2939993 |
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Bibliographic Citation: |
Pratama, M., Pedrycz, W., & Webb, G. I. (2020). An Incremental Construction of Deep Neuro Fuzzy System for Continual Learning of Nonstationary Data Streams. IEEE Transactions on Fuzzy Systems, 28(7), 1315-1328. |
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File Description--f90855 |
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File: NEweather_class.tab |
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Notes: |
UNF:6:glL3E+ZePWuvW/m8qMs2VA== |
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List of Variables: |
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Variables |
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f90855 Location: |
Summary Statistics: Max. 1.0; Min. 0.0; StDev 0.46404937378315225; Valid 18158.0; Mean 0.3138010794140354; Variable Format: numeric Notes: UNF:6:glL3E+ZePWuvW/m8qMs2VA== |
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Label: |
ACKNOWLEDGEMENT.txt |
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Notes: |
text/plain |
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Label: |
electricity_DEVFNN.m |
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Notes: |
text/x-matlab |
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Label: |
electricity_pricing.mat |
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Notes: |
application/matlab-mat |
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Label: |
gClass_extended_multivariate.p |
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Notes: |
text/x-pascal |
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gClass_extended_multivariate_update.p |
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Notes: |
text/x-pascal |
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Hyperplane_DEVFNN.m |
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text/x-matlab |
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hyperplane.mat |
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Notes: |
application/matlab-mat |
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inference_ADL.m |
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Notes: |
text/x-matlab |
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KDDCUP.mat |
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Notes: |
application/matlab-mat |
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kdd_DEVFNN.m |
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Notes: |
text/x-matlab |
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LICENSE.md |
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Notes: |
text/markdown |
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modify_dataset_zero_class.m |
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Notes: |
text/x-matlab |
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NEweatherclass.dat |
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text/x-fixed-field |
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NEweather_data.csv |
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Notes: |
text/csv |
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NEweatherdata.dat |
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text/x-fixed-field |
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normal_class.m |
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Notes: |
text/x-matlab |
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normal_class_zero_mean.m |
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Notes: |
text/x-matlab |
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processeddataset.dat |
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Notes: |
text/x-fixed-field |
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README.md |
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Notes: |
text/markdown |
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RFID_DEVFNN.m |
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Notes: |
text/x-matlab |
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sea_DEVFNN.m |
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Notes: |
text/x-matlab |
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sea.mat |
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Notes: |
application/matlab-mat |
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SEAtestingclass.dat |
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Notes: |
text/x-fixed-field |
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SEAtestingdata.dat |
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Notes: |
text/x-fixed-field |
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SEAtrainingclass.dat |
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Notes: |
text/x-fixed-field |
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SEAtrainingdata.dat |
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Notes: |
text/x-fixed-field |
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sourcedata.dat |
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Notes: |
text/x-fixed-field |
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SUSY_DEVFNN.m |
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Notes: |
text/x-matlab |
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susy.txt |
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Notes: |
text/plain |
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Label: |
title |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
title |
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text/plain; charset=US-ASCII |
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Label: |
title |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
title |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
title |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
title |
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Notes: |
text/plain; charset=US-ASCII |
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Label: |
weather_DEVFNN.m |
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Notes: |
text/x-matlab |
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Label: |
weather.mat |
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Notes: |
application/matlab-mat |