Data for: GIS-Based Spatial Prediction of Tropical Forest Fire Danger Using a New Machine Learning Method of Differential Flower Pollination and Mini-Batch Backpropagation Based Artificial Neural Network

Published: 19 Sep 2018 | Version 1 | DOI: 10.17632/gspnjkhctz.1

Description of this data

Training dataset and validation dataset ( forest fire location and ten influencing factors)

Experiment data files

This data is associated with the following publication:

GIS-based spatial prediction of tropical forest fire danger using a new hybrid machine learning method

Published in: Ecological Informatics

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  • Version 1

    2018-09-19

    Published: 2018-09-19

    DOI: 10.17632/gspnjkhctz.1

    Cite this dataset

    Tien Bui, Dieu; Le, Van Hung; Hoang, Nhat-Duc (2018), “Data for: GIS-Based Spatial Prediction of Tropical Forest Fire Danger Using a New Machine Learning Method of Differential Flower Pollination and Mini-Batch Backpropagation Based Artificial Neural Network ”, Mendeley Data, v1 http://dx.doi.org/10.17632/gspnjkhctz.1

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Categories

Training, Data Validation

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CC0 1.0 Learn more

The files associated with this dataset are licensed under a Public Domain Dedication licence.

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You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

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